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Java • int vs long



In Java programming, understanding data types is crucial for efficient and error-free coding. Two fundamental data types often encountered are int and long. This article delves into their differences, use cases, and how they impact Java applications. By comprehending the nuances between these types, developers can make informed decisions, optimizing their code for performance and precision.

Image: Java • Int Vs Long

Understanding Int in Java

In the world of Java programming, the int data type is a fundamental concept, integral to the structure and functionality of countless applications. This section delves into the essence of int, exploring its definition, typical use cases, and the inherent limitations and precision concerns associated with it.

At its core, int in Java is a 32-bit signed data type. It is primarily used to store integer values, which are whole numbers without any fractional or decimal component. The 32-bit representation allows it to have a range from -2,147,483,648 to 2,147,483,647. This extensive range makes int a versatile and commonly used data type in Java for various applications.

The typical use cases for int are numerous. It finds its place in scenarios where numerical values are required, but without the need for the large range or the fractional precision that other data types offer. For instance, int is often the go-to choice for loop counters, indexing arrays, and managing quantities that are within its range. It’s also widely used in arithmetic operations where high precision isn’t a priority.

However, this data type comes with its limitations and precision concerns. The most notable limitation of int is its fixed size. Since it can only hold values within a specific range, it’s unsuitable for calculations or data representations that exceed this range. This limitation becomes particularly evident in applications dealing with large numbers, such as financial calculations or scientific computations, where the risk of overflow—an instance where the value exceeds the int range and leads to incorrect results—is high.

Moreover, the precision of int is limited to whole numbers. For applications requiring fractional numbers or more precise calculations, int falls short, necessitating the use of other data types like float or double. This precision concern highlights the importance of choosing the right data type based on the specific requirements of the application.

In the following sections, we will further explore the nuances of int in comparison with long, another integral data type in Java, addressing key differences, usage scenarios, and their interoperability within Java programming.

Exploring Long in Java

The long data type in Java, distinct from its more commonly used counterpart int, plays a pivotal role in applications requiring a broader numerical range. This section delves into the definition, inherent characteristics, and the scenarios that necessitate the use of long over int, along with a discussion on its potential pitfalls and considerations.

Definition and Characteristics of long

In Java, long is a 64-bit signed primitive data type, designed for situations where a wider range than that offered by int is required. It can store values from -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807, making it immensely valuable for handling large numbers. This extended range is particularly crucial in applications such as large financial calculations, scientific computing, or dealing with large datasets where precision and the ability to handle vast numerical values are paramount.

When and Why to Use long Over int

The decision to use long over int is primarily influenced by the numerical range required by the application. In scenarios where the 32-bit range of int (-2,147,483,648 to 2,147,483,647) is insufficient, long becomes the necessary choice. This is especially true in systems that handle large numeric operations or require a greater degree of precision over an extended range, such as in certain financial applications, time-based calculations (especially in milliseconds over long periods), or when working with large files or databases.

Potential Pitfalls and Considerations

While long is powerful due to its wide range, it comes with certain trade-offs that need to be considered:

1. Performance Implications: CPU and Memory Usage

Using long in Java does consume twice as much memory as int (64 bits vs. 32 bits), which can be a consideration in memory-sensitive applications or with large arrays. However, on modern 64-bit CPUs, the performance difference between long and int is generally minor due to efficient handling of 64-bit data.

While operations on long could be slower in scenarios where memory bandwidth and CPU cycles are critically constrained, for most applications, this performance gap is negligible. Therefore, the decision between long and int should factor in both the memory footprint and the specific performance characteristics of the target environment, with the understanding that in many contemporary settings, the impact on performance of using long over int is limited.

2. Type Casting and Compatibility

Care must be taken when mixing long and int types in calculations. Implicit or explicit type casting can lead to unexpected results, especially if an int is unintentionally promoted to a long, which can alter the logic or precision of the computation.

3. Portability Concerns

While Java ensures consistent behavior across platforms, the underlying hardware architecture can influence the performance of long operations. This is more pronounced in systems with a native 32-bit architecture, where long operations may incur additional overhead.

32-bit CPUs, while largely surpassed by 64-bit processors in mainstream personal computing and servers, still find relevance in embedded systems, legacy platforms, and specific software niches. As for performance differences between ARM 64-bit and Intel 64-bit architectures, they are notably distinct due to design goals: Intel’s architecture prioritizes high performance for complex computing tasks, while ARM focuses on energy efficiency, ideal for mobile devices and energy-conscious applications. This divergence affects how each architecture handles tasks, with Intel excelling in power-intensive applications and ARM in efficiency and battery life. However, the increasing use of ARM in more powerful computing environments, such as servers and desktops, is starting to blur these traditional performance boundaries.

The primitive type long in Java is an indispensable data type for applications requiring large numerical ranges. However, its use demands careful consideration of the application’s memory footprint, performance requirements, and the nuances of type handling. The ability to judiciously choose between int and long depending on the specific needs of an application is a key skill for Java developers, ensuring efficient and error-free code. The following sections will continue to explore the intricacies and best practices surrounding the use of these fundamental data types in Java programming.

Comparative Analysis

In Java programming, choosing between int and long often hinges on understanding their differences, performance implications, and memory usage. This section provides a comparative analysis of these two fundamental data types, offering insights that can guide developers in making informed decisions.

Below are simple example code snippets illustrating the usage of both long and int data types in Java.

Example Code Using long

public class LongExample {
    public static void main(String[] args) {
        // Using long for a large number
        long largeNumber = 9223372036854775807L; // Note the 'L' at the end
        System.out.println("Large Number: " + largeNumber);

        // Incrementing the large number
        largeNumber += 1;
        System.out.println("Incremented Number: " + largeNumber);

In this example, long is used to handle a very large number. Note the suffix ‘L’ at the end of the number, which is necessary to indicate that the number is a long literal.

Example Code Using int

public class IntExample {
    public static void main(String[] args) {
        // Using int for a typical integer value
        int counter = 2147483647; // Maximum value for int
        System.out.println("Counter: " + counter);

        // Incrementing the counter
        counter += 1;
        System.out.println("Incremented Counter: " + counter);

In the int example, a variable counter is used to store a typical integer value. When the maximum value of int is incremented, it overflows, demonstrating the limitations of the int type’s range.

Both examples highlight the use and behavior of long and int data types in Java, especially in the context of their capacity and behavior at their boundary values.

Direct Comparison of int and long

At the core of their differences, int and long vary in size and range. Int is a 32-bit signed integer with a range from -2,147,483,648 to 2,147,483,647. In contrast, long is a 64-bit signed integer, capable of storing values from -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807. This fundamental distinction has several implications:

1. Range and Precision

Long can handle much larger values than int. This makes long essential in applications like large-scale calculations, where the range of int is insufficient.

2. Type Promotion and Conversion

In Java, when an int and a long are used together in an operation, the int is promoted to long. This automatic type promotion ensures compatibility but requires careful handling to avoid unintended consequences, particularly in complex expressions.

Here’s an example code snippet in Java demonstrating type promotion and conversion when int and long are used together in an operation:

int intValue = 100;
long longValue = 5000L;

// When an int and a long are used in an operation, 
// the int is promoted to long.
long result = intValue + longValue;

In this example, we have an int variable intValue and a long variable longValue. When we perform the addition operation intValue + longValue, the intValue is automatically promoted to a long to match the type of longValue. The result of this operation is stored in a long variable result. This promotion ensures that the operation is performed correctly, but it’s important to be aware of this behavior to avoid unexpected results, especially in more complex expressions.

However, with the following example where an long is added to an int value:

int result = longValue + intValue;

In Java, you will encounter a compilation error. This is because longValue + intValue results in a long due to type promotion, and attempting to store this long value into an int variable (result) is not allowed without explicit casting. This is because a long value can potentially be larger than the maximum value an int can hold, leading to data loss.

Here’s what happens step by step:

  1. The intValue (which is an int) is promoted to a long when it is added to longValue (which is a long).
  2. The result of longValue + intValue is a long.
  3. Trying to assign this long result to an int variable (result) will cause a compilation error due to possible loss of precision.

To make this work, you would need to explicitly cast the result back to an int, like so:

int result = (int) (longValue + intValue);

However, this should be done with caution, as it can lead to data loss if the actual value of longValue + intValue exceeds the range of int.

Performance Implications

Performance varies between int and long, and the impact is context-dependent:

  1. Processing Speed: On most modern 64-bit processors, the performance difference between int and long is negligible. However, on systems with native 32-bit architectures, operations with long may be slower, as they might require additional CPU cycles.

  2. Optimization Concerns: For performance-critical applications, choosing int when the range is adequate can contribute to slight optimizations. This is especially true in loop counters, array indexes, or scenarios where simple arithmetic operations are performed extensively.

Memory Usage Differences

Memory usage is another critical factor in the int vs. long debate:

  1. Memory Footprint: An int consumes 32 bits of memory, while a long consumes 64 bits. In scenarios involving large arrays or data structures, this difference can significantly impact the application’s overall memory footprint.

  2. Data Structure Implications: When building data-intensive applications, the choice between int and long can have substantial effects on memory efficiency. For instance, using long for values that can be comfortably managed by int would unnecessarily double the memory requirement for each element.

While long offers a broader range suitable for handling larger numerical values, int is more memory-efficient and slightly optimized in certain processing environments. The choice between the two should be guided by the specific requirements of the application, considering factors like the necessary numerical range, memory constraints, and the computing environment’s architecture. Understanding these nuances enables developers to strike the right balance between performance efficiency and the practical needs of their Java applications. The next sections will further explore best practices in utilizing these data types effectively in Java development.

Best Practices in Choosing Between Int and Long

Selecting the most suitable data type between int and long in Java is a decision that can have significant implications on performance, memory usage, and overall code robustness. This section provides guidelines for making this critical choice, illustrated with real-world examples and tips to avoid common pitfalls.

Guidelines for Selecting the Appropriate Data Type

  1. Assess the Numeric Range Requirement: The foremost criterion is the range of values the application will handle. If the numbers are within the -2,147,483,648 to 2,147,483,647 range, int suffices. For values outside this range, long is necessary.

  2. Consider the Application Context: For applications like financial calculations where large numbers are common, long should be the default choice. In contrast, for loop counters or array indices, int is typically more than adequate.

  3. Evaluate Performance and Memory Constraints: In scenarios where performance and memory optimization are critical, such as in embedded systems or large-scale data processing, prefer int if it fits the numerical requirements, as it consumes less memory and can be slightly faster on some architectures.

Real-World Examples Illustrating the Decision-Making Process

Tips to Avoid Common Mistakes

1. Beware of Implicit Type Conversion

When mixing int and long in calculations, Java automatically promotes int to long. Be mindful of this, as it can lead to unexpected results or precision loss.

Here’s an example code snippet illustrating the implicit type conversion that occurs when mixing int and long types in Java:

int myInt = 10;
long myLong = 20L;

// Implicit conversion of int to long
long result = myInt + myLong;

In this code:

2. Avoid Overestimation of Needs

Don’t default to long “just to be safe.” While it seems like a cautious approach, it can lead to unnecessary memory usage and potential performance impacts.

3. Use Profiling Tools

When in doubt, use profiling tools to understand the memory and performance implications of using int vs. long in your specific context.

4. Consistency in Team Practices

Ensure that team members follow consistent practices in data type selection to maintain code readability and efficiency.

5. Regular Code Reviews

Engage in regular code reviews focusing on data type usage. This helps in catching overuse or incorrect use of int or long and maintaining optimal code quality.

Choosing between int and long in Java should be a deliberate decision based on the specific requirements of the application, including the range of data, memory constraints, and performance considerations. By adhering to these guidelines and being mindful of common pitfalls, developers can ensure efficient, effective, and error-free use of these fundamental data types in their Java applications. The following sections will delve deeper into advanced considerations and nuanced scenarios in Java data type usage.

Advanced Considerations: Overflow and Precision

Dealing with integer overflow and maintaining precision are critical aspects of handling numerical data in Java, especially when working with the int and long data types. This section focuses on understanding these concepts, handling large numbers effectively, and strategies to mitigate overflow issues, which are paramount for developing robust and reliable Java applications.

Understanding Integer Overflow in int and long

  1. What is Integer Overflow?: Overflow occurs when a calculation exceeds the maximum value a data type can store. For int, this is 2,147,483,647, and for long, it’s 9,223,372,036,854,775,807. When overflow happens, the number wraps around to the minimum value and continues from there, often leading to incorrect and unexpected results.

  2. Overflow in int and long: While long has a much larger range than int, it is still susceptible to overflow, especially in applications involving massive numerical calculations. The risk of overflow in int is more common due to its smaller size.

Handling Large Numbers and Precision in Java

  1. Choosing the Right Data Type: For applications where the range of int is a limitation, long should be used. However, even with long, be aware of its boundaries to avoid overflow.

  2. Use of BigInteger Class: For calculations that exceed even the long range, Java provides the BigInteger class. BigInteger handles arbitrarily large integers, ensuring that operations on very large numbers don’t lose precision or suffer from overflow. It’s important to note that the only limitation is the available memory, making it a vital tool for applications requiring precise numeric computations, such as cryptography, financial modeling, and scientific simulations.

  3. Precision Considerations: When dealing with large numbers, it’s not just the range that matters but also the precision. int and long are precise for integer values, but for fractional calculations, floating-point data types or BigDecimal should be considered.

Strategies to Mitigate Overflow Issues

1. Proactive Checking

Implement checks in your code to detect when values are approaching the maximum range of int or long. This preemptive approach can prevent overflow from occurring.

2. Use Exception Handling

Java allows for the use of exception handling mechanisms. By implementing try-catch blocks, you can catch and manage arithmetic exceptions resulting from overflow.

3. Testing and Validation

Regularly test your code with boundary values to ensure that it handles edge cases without causing overflow. This is particularly important for applications dealing with financial calculations or large datasets.

As an example using JUnit and AssertJ assertions:

private long additionResult(int a, int b) {
    return (long) a + b;

public void addition_WhenOverflow_ShouldFail() {
    assertThat(additionResult(Integer.MAX_VALUE, 1))

public void addition_WhenUnderflow_ShouldFail() {
    assertThat(additionResult(Integer.MIN_VALUE, -1))

public void addition_ShouldEqual300() {
    assertThat(additionResult(100, 200))
4. Code Analysis Tools

Utilize static code analysis tools. These tools can help identify potential overflow issues by analyzing the codebase for patterns that typically lead to such problems.

5. Refactoring and Modular Arithmetic

In some cases, refactoring the code to use modular arithmetic can help manage and control overflow, especially in algorithmic and cryptographic applications.

By understanding and applying these_ advanced considerations, Java developers can effectively manage and mitigate issues related to integer overflow and precision. This not only enhances the robustness and reliability of the applications but also ensures that they function accurately across a wide range of numerical data. The next sections will further explore specific scenarios and examples, providing deeper insights into effective numerical data management in Java.

Here’s a demonstration of refactoring code to use modular arithmetic for managing overflow, especially in algorithmic and cryptographic applications, consider the following example:

Modular Exponentiation

A common scenario in cryptography is calculating the modular exponentiation, which involves raising a number to an exponent and then taking the modulus. This operation can easily cause overflow with large numbers.

Original Function (Prone to Overflow):

public class OriginalExponentiation {
    public static long pow(long base, long exponent, long modulus) {
        long result = 1;
        for (long i = 0; i < exponent; i++) {
            result *= base;
        return result % modulus;

Refactored Function Using Modular Arithmetic (Avoids Overflow):

public class ModularExponentiation {
    public static long pow(long base, long exponent, long modulus) {
        long result = 1;
        base = base % modulus;
        while (exponent > 0) {
            if (exponent % 2 == 1) {
                result = (result * base) % modulus;
            exponent = exponent >> 1;
            base = (base * base) % modulus;
        return result;

In the refactored version:


Making the Right Choice in Your Java Projects

Navigating through the nuances of data types in Java, especially when deciding between int and long, is a fundamental aspect of robust and efficient Java development. This article has explored various facets of these two data types, providing insights and guidelines to aid developers in making informed decisions. Let’s recap the key takeaways and emphasize the importance of correct data type selection.

Recap of the Key Takeaways

  1. Understanding int and long: Int is a 32-bit signed integer suitable for most general purposes, while long is a 64-bit signed integer, ideal for scenarios requiring a broader range of integer values.

  2. Performance and Memory Usage: While long offers a wider range, it also consumes more memory and can have performance implications, particularly in environments with limited resources or those that require high-speed computations.

  3. Mitigating Overflow and Precision Issues: Understanding the limitations of each type in terms of range and overflow, and employing strategies such as proactive checking and using classes like BigInteger for extremely large numbers, is crucial in avoiding common pitfalls.

  4. Best Practices: The decision between int and long should be guided by the specific requirements of the application, considering factors like the necessary numerical range, memory constraints, and performance considerations.

Emphasizing the Importance of Correct Data Type Selection

The choice of data type, though seemingly a small detail, can have profound impacts on the functionality, performance, and reliability of a Java application. Incorrect data type selection can lead to problems like integer overflow, inefficient memory usage, and suboptimal performance. Therefore, it is essential to:

  1. Carefully Analyze Requirements: Before deciding on a data type, thoroughly analyze the application’s requirements. Understand the range of data you will be dealing with and choose accordingly.

  2. Be Mindful of System Resources: Consider the hardware and system resources where the application will run. In resource-constrained environments, optimizing memory usage and processing speed is crucial.

  3. Plan for Scalability and Maintenance: Choose data types that not only meet current requirements but also accommodate future expansion. A scalable and maintainable codebase is key to long-term project success.

Encouraging Best Practices for Java Development

  1. Continuous Learning: Stay updated with Java’s best practices and evolving features. Understanding the latest developments can provide more tools and approaches for effective programming.

  2. Code Reviews and Collaboration: Engage in regular code reviews and collaborate with peers. This encourages knowledge sharing and can help in identifying and rectifying issues related to data type usage.

  3. Testing and Profiling: Implement comprehensive testing and profiling practices. This ensures that the application performs as expected under various scenarios and helps in fine-tuning performance.

In conclusion, the choice between int and long in Java projects is more than a mere technicality; it’s a strategic decision that influences the overall quality and effectiveness of the application. By adhering to these guidelines and best practices, Java developers can ensure that they are making the right choices, leading to efficient, reliable, and maintainable software solutions. The journey of mastering Java is ongoing, and each project presents a new opportunity to apply these insights for optimal results.

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Java • Multiple Inheritance Using Interface
Amongst the many facets of object-oriented programming, the concept of inheritance is fundamental. Multiple inheritance, a feature where a class can inherit from more than one superclass, can be particularly powerful but also complex. Java, however, does not support multiple inheritance directly in the way languages like C++ do. Instead, it offers a robust alternative through interfaces.
Java • Interfaces Are Replacing Abstract Classes
The Java programming language, renowned for its robust structure and versatile capabilities, has witnessed a notable evolution in its fundamental components over the years. Among these, the role and functionality of interfaces and abstract classes have undergone significant changes, particularly with the introduction of new features in Java 8.
Java • Decoupling Arbitrary Objects Through Composition
In the dynamic landscape of software development, the concept of object decoupling plays a pivotal role in crafting efficient, maintainable, and scalable applications. At its core, object decoupling refers to the design approach where components of a program are separated in such a manner that they are independent, yet functionally complete. This separation ensures that changes in one part of the system minimally impact other parts, facilitating easier updates, debugging, and enhancement.
Java Primitives & Primitive Wrappers
Java, a robust and widely-used programming language, stands out for its efficient handling of data types. Central to its functionality are the Java primitives and their corresponding wrapper classes. This article delves into the essence of Java primitives, their types, and the distinction between primitive and non-primitive data types, including examples to illustrate these concepts.
Java • Primitive int vs Integer Best Practices
In Java, one of the foundational decisions developers must make pertains to choosing between primitive types and their corresponding wrapper classes, such as int and Integer. Both have their place in Java applications, and understanding their differences is paramount for writing efficient and effective code.
Java • Harnessing Static and Default Methods in Interfaces
The arrival of static and default methods in Java 8 marked a significant shift in interface capabilities, expanding their functionality and versatility in Java’s object-oriented ecosystem. This article explores the nuances of these features and their impacts on Java programming, simplifying complex concepts and illustrating their practical applications in modern software development.
Java Modern Collection Utilities
Java’s evolution has always been about simplifying complexity and enhancing efficiency. The collection utilities have undergone significant improvements since JDK 8, transitioning from the Collections utility class to the intuitive List.of(), Map.of(), and Set.of() methods.
Java • AssertJ vs Hamcrest Assertion Frameworks
When working with testing frameworks like JUnit or TestNG, selecting the right assertion framework can significantly enhance the readability of your test code and improve the overall quality of your tests. Two of the most popular Java assertion frameworks are AssertJ and Hamcrest.
Java • Unit Testing Best Practices
Unit testing is a fundamental aspect of software development, ensuring that each individual unit of source code is thoroughly examined and validated for correctness. With Java being one of the most widely used programming languages, it is crucial to adhere to the best practices for unit testing in Java to maintain the integrity and performance of the software.
Logback for Beginners
Logback, a Java-based logging framework within the SLF4J (Simple Logging Facade for Java) ecosystem, is the preferred choice in the Java community, serving as an enhanced successor to the popular Log4j project. It not only carries forward the legacy of Log4j but also brings to the table a quicker implementation, more comprehensive configuration options, and enhanced flexibility for archiving old log files.
Java • Modern Looping And Filtering with Stream API
Java has constantly evolved since its inception, presenting developers with numerous tools and methods to make coding more efficient and readable. Among these are modern techniques for looping and filtering data.
Java • Converting Strings To List
When it comes to working with Java, converting strings into lists is a common and essential operation that can significantly enhance your data processing capabilities. Whether you’re a seasoned programmer or just starting, mastering this technique will prove to be invaluable in your coding endeavors.
Java var Best Practices
Java, with each release and update, continually evolves to simplify the developer’s journey while preserving its core tenets of readability and robustness. One of the notable introductions in Java 10 was the var keyword. As with most new features, it sparked debates and questions regarding its efficacy and best practices.
URI vs URL in Java
In the realm of Java and web development, the terms URL and URI often emerge in discussions, leaving some in a quagmire of confusion. This article aims to elucidate the disparities between the two, elucidating their syntax, utilization in Java, and the nuances that set them apart.
Java vs JavaScript • Which Is In More Demand?
Java and JavaScript, despite their similar names, serve distinct purposes within the realm of software development. As both languages continue to evolve and find niches in the modern tech landscape, it’s crucial to understand their differences and their respective market demands.
Java Cloning Strategies
Object copying is a fundamental aspect of Java programming, finding relevance and utility in diverse contexts. Whether it’s creating independent copies of objects, maintaining object state, or avoiding unintended side effects, understanding efficient and reliable cloning strategies is essential.
Java Comprehensive Guide
Java is a versatile programming language that has gained widespread popularity for its platform independence and robustness. In this comprehensive guide, we will delve into the various aspects of Java programming, covering essential concepts, tools, and best practices.
Java • Converting Strings To Map
This article discusses converting a string of key-value pairs that are delimited by a specific character, known as a delimiter, into a Map in Java.
Maven vs Gradle
Maven and Gradle are two of the most popular build automation tools for Java-based projects. Both tools are designed to simplify the build process, manage dependencies, and facilitate project organization.
Java 19 Virtual Threads
In this article, we will provide an overview of virtual threads in Java and their use in concurrent programming. We will define what virtual threads are and how they differ from normal threads. Additionally, we will discuss the benefits of virtual threads over traditional concurrency approaches and provide code examples to illustrate the differences between the two.
Decoupling Domain Objects: Simplifying System Architecture
When you design an object-oriented system from top to bottom, sometimes the objects that represent the “domain” (what the system is about) don’t match the objects that represent the “entities” (what the system stores). To solve this problem, you can use a technique called “decoupling” to separate the layers of objects.
Java Final Modifier
In Java, the final keyword (also known as a modifier) is used to mark a variable, method, or class as immutable, meaning its value or behavior cannot be modified once it has been initialized.
Java Records
A Java record is a new feature introduced in Java 14 that allows developers to create a class that is primarily used to store data. A record is essentially a concise way to define a class that consists mainly of state (fields) and accessors (getters).
Java 17 Features
JDK 17, introduces several new features and improvements, including enhanced random number generators, new encoding-specific methods for the String class, and default classes for Java ciphers. It also removes the experimental AOT and JIT compilers, and introduces support for Sealed Classes and Records. These changes provide developers with more flexibility and control, making it easier to write efficient and secure Java applications.
Java Optional - Why Developers Prefer Optional Values
This article discusses the use of Java Optional to introduce optional values instead of null. We will deep dive into understanding why developers prefer the Optional class to clearly communicate an optional value as opposed to a vague null representation of a variable.
Java • Int to String Conversion Guide
In Java, often times the ability to return a string representing the specified integer is a common task. This article illustrates several mechanisms to convert int to a string in Java. In the opposite scenario, the means to resolve an integer representing the value of the specified String. The returned value is an Integer object that is the equivalent integer value of the argument string.
Java • Double to String Conversion | Beginner's Guide
Converting double to a String value in Java has been a typical task to do for software development. This article discusses the various ways on how to convert a double to a string in Java. While there are advantages in representing a double to its String object representation, the opposite task of converting a String object to a double can also be addressed. This document examines the reasons why conversions of double in Java are beneficial for beginners who are learning to develop in java.
Setting Java Compiler Version in Maven
This document demonstrates ways to set the java compiler version in maven via the maven.compiler.target property and the maven-compiler-plugin configuration section.
Getting Started with Maven Build System in Java Projects
The following page will illustrate how to get started with the maven build system in your java projects.  Use this guide as a reference when using Maven for the very first time.
Getting Started With Java
The following page will illustrate how to get started with the Java Programming Language.  In addition, this document provides an overview of how to install java and the environment variables you will need to set.  A hands-on approach illustrates how to compile and run your first Hello World java code.
Getting Started With Gradle
The following page will be an excellent guide with getting started with the gradle build system in your Java™ projects.  Use this guide as a reference when using Gradle as a build system for the very first time.