eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with 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.

Get started with mocking and improve your application tests using our Mockito guide:

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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 – 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.

Get started with Spring Data JPA through the guided reference course:

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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

In this tutorial, we’ll get familiar with some ways to print 2D arrays, along with their time and space complexity.

2. Common Ways to Print a 2D Array

Java, a versatile programming language, offers multiple methods for handling and manipulating arrays. Specifically, 2D arrays provide a convenient way to organize and store data in a grid-like structure. Printing a 2D array constitutes a common operation, and Java presents several approaches to accomplish this task.

2.1. Using Nested Loops

The most straightforward method involves using nested loops to iterate through the rows and columns of the 2D array. This method is simple and intuitive, making it an excellent choice for basic array printing. Let’s look into the implementation:

int[][] myArray = { { 1, 2, 3 }, { 4, 5, 6 }, { 7, 8, 9 } };
for (int i = 0; i < myArray.length; i++) {
    for (int j = 0; j < myArray[i].length; j++) {
        System.out.print(myArray[i][j] + " ");
    }
}

Advantages:

  • Simple and easy to understand
  • Doesn’t necessitate extra libraries or functionalities

Disadvantages:

  • If prioritizing code brevity, this may not be the optimal selection

Time Complexity: O(m * n), where ‘m’ is the number of rows and ‘n’ is the number of columns in the 2D array

Space Complexity: O(1), constant space as no additional data structures are used

2.2. Using Arrays.deepToString()

For simplicity and conciseness, Java provides the Arrays.deepToString() method, which enables printing 2D arrays directly. This method manages nested arrays and furnishes a compact representation of the array contents. Let’s delve into the implementation:

int[][] myArray = { {1, 2, 3}, {4, 5, 6}, {7, 8, 9} };
System.out.println(Arrays.deepToString(myArray));

Advantages:

  • Offers conciseness and demands minimal code
  • Appropriate for swift debugging or when accepting a compact output format

Disadvantages:

  • Generates a new string representation of the entire array, potentially less efficient in terms of space complexity for very large arrays
  • Lacks control over the array’s formatting and depends on the implementation of the toString

Time Complexity: O(m * n)

Space Complexity: O(m * n), due to the creation of a new string representation of the entire 2D array

2.3. Using Java 8 Streams

For a more modern approach, Java 8 introduced streams, allowing concise and expressive code. The Arrays.stream() method can be employed to flatten the 2D array, and then forEach() is used to print the elements. Let’s look into the implementation:

int[][] myArray = { {1, 2, 3}, {4, 5, 6}, {7, 8, 9} };
Arrays.stream(myArray)
  .flatMapToInt(Arrays::stream)
  .forEach(num -> System.out.print(num + " "));

Advantages:

  • Embraces modernity and expressiveness
  • Employs concise code that utilizes Java 8 features

Disadvantages:

  • May be deemed more advanced and could be less readable for individuals unfamiliar with Java 8 streams

Time Complexity: O(m * n)

Space Complexity: O(1), constant space as no additional data structures are used

2.4. Using Arrays.toString()

This method is used to convert each row of the 2D array into a string representation and then print each row. This approach provides a clean and concise output. Let’s look into the implementation:

int[][] myArray = { {1, 2, 3}, {4, 5, 6}, {7, 8, 9} };
for (int[] row : myArray) {
    System.out.print(Arrays.toString(row));
}

Advantages:

  • Does not create additional data structures like lists or streams, resulting in a more memory-efficient solution
  • Straightforward implementation, requiring minimal code to achieve the desired output

Disadvantages:

  • It generates a new string representation of each row, which might be less efficient in terms of space complexity for arrays with a large number of columns.
  • We lack control over how the array is formatted, and it depends on the implementation of the toString method of the elements.

Time Complexity: O(m * n)

Space Complexity: O(n), due to the creation of a new string representation of each row

It’s important to note that all these approaches have a time complexity of O(m * n) because to print the entire 2D array, we must visit each element at least once. The space complexity varies slightly based on whether we create additional data structures, such as strings for representation. In general, these complexities are quite reasonable for typical use cases, and the choice of method can depend on factors like code readability, simplicity, and specific project requirements.

3. Conclusion

In conclusion, the choice of the “best” approach depends on your specific requirements and coding preferences. For most general use cases, the nested loops approach strikes a good balance between simplicity and efficiency. However, for scenarios where conciseness or customization is a priority, other methods might be more suitable. Java offers flexibility to meet the diverse needs of developers. Choose the method that best fits your coding style and the requirements of your project.

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)