eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
announcement - icon

Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

eBook – Mockito – NPI EA (tag = Mockito)
announcement - icon

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:

Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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 – Reactive – NPI EA (cat=Reactive)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
announcement - icon

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 (cat=Jackson)
announcement - icon

Do JSON right with Jackson

Download the E-book

eBook – HTTP Client – NPI EA (cat=Http Client-Side)
announcement - icon

Get the most out of the Apache HTTP Client

Download the E-book

eBook – Maven – NPI EA (cat = Maven)
announcement - icon

Get Started with Apache Maven:

Download the E-book

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

eBook – RwS – NPI EA (cat=Spring MVC)
announcement - icon

Building a REST API with Spring?

Download the E-book

Course – LS – NPI EA (cat=Jackson)
announcement - icon

Get started with Spring and Spring Boot, through the Learn Spring course:

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
announcement - icon

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)
announcement - icon

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)
announcement - icon

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:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (cat=Spring Boot)
announcement - icon

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)
announcement - icon

Code your way through and build up a solid, practical foundation of Java:

>> Learn Java Basics

Partner – LambdaTest – NPI EA (cat= Testing)
announcement - icon

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

While iterating over data in Java, we may wish to access both the current item and its position in the data source.

This is very easy to achieve in a classic for loop, where the position is usually the focus of the loop’s calculations, but it requires a little more work when we use constructs like for each loop or stream.

In this short tutorial, we’ll look at a few ways that for each operation can include a counter.

2. Implementing a Counter

Let’s start with a simple example. We’ll take an ordered list of movies and output them with their ranking.

List<String> IMDB_TOP_MOVIES = Arrays.asList("The Shawshank Redemption",
  "The Godfather", "The Godfather II", "The Dark Knight");

2.1. for Loop

A for loop uses a counter to reference the current item, so it’s an easy way to operate over both the data and its index in the list:

List rankings = new ArrayList<>();
for (int i = 0; i < movies.size(); i++) {
    String ranking = (i + 1) + ": " + movies.get(i);
    rankings.add(ranking);
}

As this List is probably an ArrayList, the get operation is efficient, and the above code is a simple solution to our problem.

assertThat(getRankingsWithForLoop(IMDB_TOP_MOVIES))
  .containsExactly("1: The Shawshank Redemption",
      "2: The Godfather", "3: The Godfather II", "4: The Dark Knight");

However, not all data sources in Java can be iterated over this way. Sometimes get is a time-intensive operation, or we can only process the next element of a data source using Stream or Iterable.

2.2. for Each Loop

We’ll continue using our list of movies, but let’s pretend that we can only iterate over it using Java’s for each construct:

for (String movie : IMDB_TOP_MOVIES) {
   // use movie value
}

Here we need to use a separate variable to track the current index. We can construct that outside of the loop, and increment it inside:

int i = 0;
for (String movie : movies) {
    String ranking = (i + 1) + ": " + movie;
    rankings.add(ranking);

    i++;
}

We should note that we have to increment the counter after it has been used within the loop.

3. A Functional for Each

Writing the counter extension every time we need it might result in code duplication and may risk accidental bugs concerning when to update the counter variable. We can, therefore, generalize the above using Java’s functional interfaces.

First, we should think of the behavior inside the loop as a consumer of both the item in the collection and also the index. This can be modeled using BiConsumer, which defines an accept function that takes two parameters

@FunctionalInterface
public interface BiConsumer<T, U> {
   void accept(T t, U u);
}

As the inside of our loop is something that uses two values, we could write a general looping operation. It could take the Iterable of the source data, over which the for each loop will run, and the BiConsumer for the operation to perform on each item and its index. We can make this generic with the type parameter T:

static <T> void forEachWithCounter(Iterable<T> source, BiConsumer<Integer, T> consumer) {
    int i = 0;
    for (T item : source) {
        consumer.accept(i, item);
        i++;
    }
}

We can use this with our movie rankings example by providing the implementation for the BiConsumer as a lambda:

List rankings = new ArrayList<>();
forEachWithCounter(movies, (i, movie) -> {
    String ranking = (i + 1) + ": " + movies.get(i);
    rankings.add(ranking);
});

4. Adding a Counter to forEach with Stream

The Java Stream API allows us to express how our data passes through filters and transformations. It also provides a forEach function. Let’s try to convert that into an operation that includes the counter.

The Stream forEach function takes a Consumer to process the next item. We could, however, create that Consumer to keep track of the counter and pass the item onto a BiConsumer:

public static <T> Consumer<T> withCounter(BiConsumer<Integer, T> consumer) {
    AtomicInteger counter = new AtomicInteger(0);
    return item -> consumer.accept(counter.getAndIncrement(), item);
}

This function returns a new lambda. That lambda uses the AtomicInteger object to keep track of the counter during iteration. The getAndIncrement function is called every time there’s a new item.

The lambda created by this function delegates to the BiConsumer passed in so that the algorithm can process both the item and its index.

Let’s see this in use by our movie ranking example against a Stream called movies:

List rankings = new ArrayList<>();
movies.forEach(withCounter((i, movie) -> {
    String ranking = (i + 1) + ": " + movie;
    rankings.add(ranking);
}));

Inside the forEach is a call to the withCounter function to create an object which both tracks the count and acts as the Consumer that the forEach operation passes its values too.

5. Conclusion

In this short article, we’ve looked at three ways to attach a counter to Java for each operation.

We saw how to track the index of the current item on each implementation of them for a loop. We then looked at how to generalize this pattern and how to add it to streaming operations.

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)
announcement - icon

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)
announcement - icon

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:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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)
announcement - icon

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)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

Course – LS – NPI EA (cat=REST)

announcement - icon

Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (tag=Refactoring)
announcement - icon

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)
2 Comments
Oldest
Newest
Inline Feedbacks
View all comments