Functional Programming and Its Growing Popularity
Over the years, software development has continuously evolved, with each paradigm addressing specific challenges. Functional programming, an approach that treats computation as the evaluation of mathematical functions, has gained significant traction due to its emphasis on immutability, declarative style, and clean abstraction.
Functional programming thrives on the principles of writing concise, expressive, and highly reusable code. Unlike imperative programming, which focuses on step-by-step procedures, functional programming emphasizes what needs to be done rather than how to do it.
Why Did Java Embrace Functional Programming?
Java, traditionally an object-oriented programming language, started showing its age with verbose syntax and boilerplate-heavy code. Developers were spending an inordinate amount of time on tasks that felt unnecessarily repetitive and verbose, such as writing anonymous classes or iterating through collections.
When Java 8 was released, the language underwent one of its most transformative updates. Recognizing the growing popularity of functional programming in other languages like Scala, Python, and Haskell, Java introduced features like lambda expressions, functional interfaces, and method references to bridge the gap.
The addition of these features was motivated by:
The Need for Cleaner Code: Writing concise and expressive code became increasingly important for productivity and readability.
Better Parallelism: Functional programming lends itself naturally to parallel processing, making it easier to leverage multi-core processors.
Modern Trends in Development: The demand for more dynamic and declarative programming styles pushed Java to adapt.
Making Code More Expressive, Flexible, and Reusable
Before Java 8, operations on collections were riddled with verbosity. For instance, filtering a list of people to find all adults might require multiple lines of boilerplate code. Java 8 empowered developers to write such logic in just a single, expressive line using lambdas and streams.
Consider this: Writing clean, elegant code is not just about reducing lines; it's about enhancing readability and maintainability. Lambdas, functional interfaces, and method references allow developers to focus on the logic of the problem rather than the plumbing.
Setting the Stage for What's to Come
This blog will take you through these transformative features of Java 8:
Lambda Expressions: The cornerstone of Java’s embrace of functional programming, lambdas let you treat functionality as a method argument or a piece of data.
Functional Interfaces: Special interfaces that work seamlessly with lambdas, providing the foundation for functional programming in Java.
Method References: A shorthand for lambdas that enhances code readability and conciseness.
To make this journey more engaging, we'll explore these concepts through a relatable theme—people. Think of tasks like filtering a list of persons, sorting them, or transforming data. Along the way, you'll see how Java 8 empowers you to write better code.
Functional programming is not just a trend; it's a better way to think about solving problems. As you dive into these concepts, you'll discover how they reduce complexity, improve code clarity, and make you a more versatile Java developer.
What Are Functional Interfaces?
A functional interface in Java is an interface that contains exactly one abstract method (SAM - Single Abstract Method). This seemingly simple concept is the backbone of Java's functional programming paradigm introduced in Java 8. By limiting the interface to a single abstract method, Java ensures that the interface can represent a single operation or behavior, making it ideal for functional-style programming.
Functional interfaces enable the use of lambda expressions and method references, which can succinctly provide the implementation for the abstract method on the fly. This synergy allows developers to write expressive, compact, and highly reusable code.
The @FunctionalInterface Annotation
Although any interface with a single abstract method can be considered functional, Java provides the @FunctionalInterface annotation to:
Explicitly declare intent: The annotation tells the compiler and other developers that this interface is meant to be functional.
Prevent accidental additions: If someone adds another abstract method, the compiler will throw an error, maintaining the functional nature of the interface.
Here’s an example:
@FunctionalInterface
interface Greeting {
void sayHello(String name);
}
The above interface is a functional interface because it has exactly one abstract method: sayHello.
Common Functional Interfaces in Java
1. Runnable
One of the simplest examples of a functional interface is Runnable. It represents a task to be executed in a separate thread and has a single abstract method, run.
Before Java 8:
Runnable task = new Runnable() {
@Override
public void run() {
System.out.println("Running a task");
}
};
new Thread(task).start();
With Java 8:
Runnable task = () -> System.out.println("Running a task");
new Thread(task).start();
2. Comparator
The Comparator interface is another functional interface often used for sorting. It has a single method, compare.
Before Java 8:
Comparator<String> comparator = new Comparator<>() {
@Override
public int compare(String s1, String s2) {
return s1.length() - s2.length();
}
};
With Java 8:
Comparator<String> comparator = (s1, s2) -> s1.length() - s2.length();
3. Built-in Java 8 Functional Interfaces
Java 8 introduced a suite of functional interfaces in the java.util.function package to cater to common functional programming needs.
Function<T, R>: Represents a function that takes an argument of type T and produces a result of type R.
Example:
Function<String, Integer> stringLength = str -> str.length();
System.out.println(stringLength.apply("Functional Interface"));
Consumer<T>: Represents an operation that takes a single argument of type T and returns no result.
Example:
Consumer<String> printUpperCase = str -> System.out.println(str.toUpperCase());
printUpperCase.accept("hello functional interfaces!");
Predicate<T>: Represents a boolean-valued function of a single argument.
Example:
Predicate<Integer> isEven = num -> num % 2 == 0;
System.out.println(isEven.test(4));
System.out.println(isEven.test(5));
Why Are Functional Interfaces Important?
Functional interfaces make Java more expressive and concise by allowing lambda expressions to replace verbose anonymous classes. This shift not only reduces boilerplate code but also makes the logic more readable and maintainable. By embracing functional interfaces, you can write powerful pipelines for processing collections, leverage parallelism effortlessly, and build more elegant APIs.
Think about this: Functional interfaces are like the silent heroes that bridge object-oriented and functional paradigms in Java. They empower you to approach problems differently, breaking free from the verbosity of the past.
Exercises for Readers
Create Your Own Functional Interface
Write a functional interface called Calculator with a method int calculate(int a, int b). Use a lambda expression to implement it for addition, subtraction, and multiplication.
Example:
@FunctionalInterface
interface Calculator {
int calculate(int a, int b);
}
Using Built-in Functional Interfaces
Write a program to:
Use a Function<String, String> to reverse a string.
Use a Predicate<Integer> to check if a number is prime.
Use a Consumer<List<Integer>> to print a list of integers.
Comparator in Action
Create a list of people with names and ages. Use a lambda to sort the list by age using Comparator.
Lambda Expressions: Simplifying Anonymous Classes
Java's verbosity has often been a point of frustration for developers, especially when working with anonymous inner classes. Writing an implementation for a single method often required multiple lines of code, much of which was boilerplate. Enter lambda expressions, a powerful addition in Java 8, designed to simplify and streamline code that implements functional interfaces.
A lambda expression is a concise way to represent an instance of a functional interface. It eliminates the need for anonymous classes, making your code more readable and expressive.
Syntax of Lambda Expressions
The syntax of a lambda expression can be broken down into three parts:
Parameters: Enclosed in parentheses. For example, (x, y) represents two parameters.
Arrow Token (->): Separates the parameters from the body.
Body: The logic to be executed, which can be a single expression or a block of statements.
Syntax:
(parameters) -> expression
(parameters) -> { statements; }
From Anonymous Inner Classes to Lambda Expressions
Let’s compare the old way (anonymous inner class) with the new way (lambda expression):
Example: Runnable
Before Java 8:
Runnable task = new Runnable() {
@Override
public void run() {
System.out.println("Task is running");
}
};
new Thread(task).start();
With Lambda:
Runnable task = () -> System.out.println("Task is running");
new Thread(task).start();
Example: Comparator
Before Java 8:
Comparator<Integer> comparator = new Comparator<>() {
@Override
public int compare(Integer x, Integer y) {
return x - y;
}
};
With Lambda:
Comparator<Integer> comparator = (x, y) -> x - y;
Basic Lambda Examples
Add Two Numbers
BinaryOperator<Integer> add = (x, y) -> x + y;
System.out.println(add.apply(5, 3));
Check Even Numbers
Predicate<Integer> isEven = x -> x % 2 == 0;
System.out.println(isEven.test(4));
System.out.println(isEven.test(5));
Print a Message
Consumer<String> printMessage = message -> System.out.println(message);
printMessage.accept("Hello, Lambda!");
Lambda Expressions with List Operations
Using lambdas with collections can significantly simplify common operations like iterating or filtering elements.
Example: Iterating with forEach
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
names.forEach(name -> System.out.println(name));
Example: Filtering a List
List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5, 6);
numbers.removeIf(n -> n % 2 == 0);
System.out.println(numbers);
Why Use Lambda Expressions?
Conciseness: Reduce boilerplate code.
Readability: Focus on the logic rather than setup.
Expressiveness: Directly represent functionality, making code easier to understand and maintain.
Compatibility: Seamlessly integrate with existing functional interfaces in Java.
Think about this: With lambdas, your focus shifts from "how to implement" to "what to do." This clarity not only improves your code but also your productivity.
Exercises for Readers
Basic Lambda Creation
Write a lambda expression that:
List Operations
Given a list of names:
List<String> names = Arrays.asList("John", "Jane", "Jill", "Jake");
Sorting with Lambda
Create a list of integers and sort it in descending order using a Comparator lambda.
Connecting Functional Interfaces and Lambdas
In Java, lambda expressions and functional interfaces are two sides of the same coin. Lambdas are the implementation mechanism, while functional interfaces provide the context in which lambdas operate. A lambda can only be used where the type is a functional interface. This relationship ensures that lambdas are well-integrated into Java’s type system, making functional programming intuitive and seamless.
Key Concept: A Lambda is Always an Implementation of a Functional Interface
Whenever you write a lambda expression, you’re essentially creating an instance of a functional interface, implementing its single abstract method (SAM). For example:
@FunctionalInterface
interface Greeter {
void greet(String name);
}
Greeter greeter = name -> System.out.println("Hello, " + name + "!");
greeter.greet("Alice");
Here, name -> System.out.println("Hello, " + name + "!") is a lambda that implements the greet method of the Greeter interface.
Using Lambdas with Built-in Functional Interfaces
Java 8 introduced several built-in functional interfaces in the java.util.function package, making it easy to write concise, functional code. Let’s see how lambdas bring these interfaces to life.
1. Using Consumer<T> for forEach
The Consumer<T> interface represents an operation that takes a single argument and returns no result. It’s often used with forEach for iterating over collections.
Example:
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
names.forEach(name -> System.out.println("Hello, " + name + "!"));
Explanation:
The lambda name -> System.out.println("Hello, " + name + "!") implements the accept method of Consumer<T>.
The forEach method expects a Consumer<T>, making it a perfect match for a lambda.
2. Using Predicate<T> for Filtering
The Predicate<T> interface represents a boolean-valued function of one argument. It’s commonly used with collection methods like removeIf or stream().filter.
Example:
List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5, 6);
numbers.removeIf(num -> num % 2 == 0);
System.out.println(numbers);
Explanation:
The lambda num -> num % 2 == 0 implements the test method of Predicate<T>.
The removeIf method applies this predicate to each element, removing the ones that satisfy the condition.
The Function<T, R> interface represents a function that takes an argument of type T and returns a result of type R. It’s great for transforming data.
Example:
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
List<Integer> nameLengths = names.stream()
.map(name -> name.length())
.toList();
System.out.println(nameLengths);
Explanation:
The lambda name -> name.length() implements the apply method of Function<T, R>.
The map method uses this function to transform each element of the list.
The Intuition Behind Functional Interfaces and Lambdas
Think of a functional interface as a container for a single operation and a lambda as the actual operation. Together, they:
Allow you to write reusable and modular code by abstracting behavior into functional interfaces.
Simplify the way you pass behavior as arguments to methods.
Create opportunities for highly readable and declarative programming.
A Simplified Functional Approach
By connecting lambdas and functional interfaces, Java makes the functional paradigm easy to adopt without sacrificing its strong type system. The result? Code that’s shorter, more expressive, and easier to maintain.
Think about this: You don’t need to learn new concepts to use lambdas effectively. If you know functional interfaces, you already have the foundation to unlock the power of functional programming in Java.
Exercises for Readers
Using Consumer<T> with forEach
Create a list of numbers and use forEach to print each number squared.
Filtering with Predicate<T>
Given a list of words, use removeIf to remove all words that are shorter than 4 characters.
Transforming with Function<T, R>
Write a program that takes a list of strings and uses Function with map to convert each string to uppercase.
The connection between functional interfaces and lambdas is what makes Java’s functional programming model both powerful and intuitive. As you explore these concepts, you’ll see how they simplify common programming tasks while making your code more expressive and flexible.
Method References: Another Way to Write Lambdas
Lambda expressions brought conciseness and readability to Java 8, but Java didn’t stop there. Sometimes, even a lambda expression can feel redundant when all it does is call an existing method. Enter method references, a shorthand that allows you to directly reference existing methods by their names.
What are Method References?
Method references are a more concise way to express certain lambda expressions that simply call an existing method. They improve readability by letting the method’s name do the talking, rather than wrapping it in a lambda.
For instance:
Consumer<String> print = s -> System.out.println(s);
Consumer<String> print = System.out::println;
Types of Method References
Java provides three main types of method references:
Static Method Reference: Refers to a static method. Syntax: ClassName::staticMethod
Instance Method Reference: Refers to an instance method of a particular object. Syntax: instance::instanceMethod
Constructor Reference: Refers to a constructor. Syntax: ClassName::new
1. Static Method References
A static method reference refers to a static method of a class. It is particularly useful when a lambda only calls a static method.
Example:
Function<String, Integer> parse = str -> Integer.parseInt(str);
Function<String, Integer> parse = Integer::parseInt;
System.out.println(parse.apply("42"));
2. Instance Method References
An instance method reference refers to a method of a specific instance. This is helpful when a lambda just calls a method on an existing object.
Example:
Consumer<String> printer = s -> System.out.println(s);
Consumer<String> printer = System.out::println;
printer.accept("Hello, Method References!");
3. Constructor References
A constructor reference refers to a constructor and is often used to create new objects. This is particularly useful in contexts like factories or when working with streams.
Example:
Supplier<List<String>> listSupplier = () -> new ArrayList<>();
Supplier<List<String>> listSupplier = ArrayList::new;
List<String> list = listSupplier.get();
System.out.println(list);
Another Example with Parameters:
Function<String, Person> personCreator = name -> new Person(name);
Function<String, Person> personCreator = Person::new;
Person person = personCreator.apply("Alice");
System.out.println(person.getName());
Combining Method References with Functional Interfaces
Method references integrate seamlessly with Java's functional interfaces, just like lambdas. Let’s see some examples:
Using Consumer<T> with a Method Reference
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
names.forEach(System.out::println);
Using Predicate<T> with a Method Reference
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
names.removeIf(String::isEmpty);
System.out.println(names);
Using Function<T, R> with a Method Reference
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
List<Integer> nameLengths = names.stream()
.map(String::length)
.toList();
System.out.println(nameLengths);
Why Use Method References?
Improved Readability: Method references allow you to convey intent more directly. Instead of wrapping method calls in a lambda, you simply reference the method.
Conciseness: They make code shorter by removing unnecessary parameters and syntax.
Expressiveness: The code is easier to understand because it uses the method’s name directly, aligning closely with how we describe behavior conceptually.
Exercises for Readers
Static Method Reference
Write a static method isPositive in a class NumberUtils that checks if a number is positive. Use a method reference with Predicate<Integer> to test a list of numbers and remove all negative numbers.
Instance Method Reference
Create a Person class with a method sayHello(). Create a list of Person objects and use a method reference to call sayHello() for each person in the list.
Constructor Reference
Create a class Book with a constructor that takes a String title. Use a constructor reference with Function<String, Book> to create a list of books from a list of titles.
Examples and Use Cases
Before diving into examples, let’s briefly introduce Streams, a powerful addition in Java 8 designed to process collections in a functional style. A stream represents a sequence of elements that supports various operations to produce a result. Unlike collections, streams are declarative, lazy, and can be parallelized.
Key concepts about streams:
Streams are not data structures: They don’t store elements but process them.
Pipelines: Stream operations are chained to form a pipeline, consisting of:
Source: Where the stream originates (e.g., a collection or array).
Intermediate Operations: Transformations (e.g., filter, map).
Terminal Operation: Produces the final result (e.g., collect, forEach).
Here’s an example of a simple stream:
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
names.stream()
.filter(name -> name.startsWith("A"))
.forEach(System.out::println);
Let’s now combine functional interfaces, lambdas, and method references in practical, real-world use cases using streams.
Use Case 1: Filtering a List of Names
Task: Filter a list to keep only names shorter than 5 characters.
Using a lambda:
List<String> names = Arrays.asList("Alice", "Bob", "Charlie", "Dan");
List<String> shortNames = names.stream()
.filter(name -> name.length() < 5)
.toList();
System.out.println(shortNames);
Using a method reference:
List<String> shortNames = names.stream()
.filter(((Predicate<String>) String::isEmpty).negate())
.toList();
System.out.println(shortNames);
Task: Transform a list of strings into their uppercase equivalents.
Using a lambda:
List<String> upperCaseNames = names.stream()
.map(name -> name.toUpperCase())
.toList();
System.out.println(upperCaseNames);
Using a method reference:
List<String> upperCaseNames = names.stream()
.map(String::toUpperCase)
.toList();
System.out.println(upperCaseNames);
Use Case 3: Calculating Total from a List of Numbers
Task: Calculate the sum of all even numbers in a list.
Using a lambda:
List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5, 6);
int sumOfEvens = numbers.stream()
.filter(num -> num % 2 == 0)
.reduce(0, (a, b) -> a + b);
System.out.println(sumOfEvens);
Using a method reference:
int sumOfEvens = numbers.stream()
.filter(num -> num % 2 == 0)
.reduce(0, Integer::sum);
System.out.println(sumOfEvens);
Use Case 4: Grouping Data with Collectors
Task: Group a list of people by their age.
class Person {
String name;
int age;
Person(String name, int age) {
this.name = name;
this.age = age;
}
int getAge() {
return age;
}
String getName() {
return name;
}
}
List<Person> people = Arrays.asList(
new Person("Alice", 30),
new Person("Bob", 25),
new Person("Charlie", 30),
new Person("Dan", 25)
);
Map<Integer, List<Person>> groupedByAge = people.stream()
.collect(Collectors.groupingBy(Person::getAge));
groupedByAge.forEach((age, group) -> {
System.out.println("Age " + age + ": " + group.stream()
.map(Person::getName)
.collect(Collectors.joining(", ")));
});
Use Case 5: Sorting a List of People by Name
Task: Sort a list of people alphabetically by their name.
Using a lambda:
List<Person> sortedByName = people.stream()
.sorted((p1, p2) -> p1.getName().compareTo(p2.getName()))
.toList();
sortedByName.forEach(person -> System.out.println(person.getName()));
Using a method reference:
List<Person> sortedByName = people.stream()
.sorted(Comparator.comparing(Person::getName))
.toList();
sortedByName.forEach(person -> System.out.println(person.getName()));
Why Combine These Features?
Declarative Code: Streams combined with lambdas and method references allow you to write what you want to achieve, not how to do it.
Readability: Method references and lambdas remove clutter, making your code more expressive and easier to maintain.
Flexibility: These features together provide a unified, powerful way to work with collections.
Think about this: By mastering these tools, you can write code that’s not only functional but also beautiful. It’s like learning to wield a scalpel instead of a machete—precision and elegance over brute force.
Exercises for Readers
Transforming Data Write a program to take a list of names and return a list of their lengths.
Filtering and Sorting From a list of integers, filter out odd numbers and sort the remaining numbers in descending order.
Custom Objects and Streams Create a Book class with fields title and price. Write a program to:
Best Practices and When to Use What
As you grow comfortable with functional interfaces, lambda expressions, and method references, it’s important to understand when and how to use them effectively. These tools are immensely powerful but should be wielded with care to write clean, readable, and maintainable code.
Lambda Expressions vs. Method References
Lambda expressions and method references often overlap in functionality, but each has its ideal use case.
When to Use Lambda Expressions
Lambdas are best suited for short, custom logic that isn't already encapsulated in a method.
Simple Inline Logic: When the operation is a small, self-contained piece of code.
Predicate<Integer> isOdd = num -> num % 2 != 0;
Improving Readability: When using a lambda makes it immediately clear what the code is doing.
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
names.forEach(name -> System.out.println("Hello, " + name));
Custom Behavior: When the required behavior is specific to the context and isn’t available in a predefined method.
Comparator<Integer> customComparator = (a, b) -> (a % 10) - (b % 10);
When to Use Method References
Method references shine when they can replace a lambda while improving readability by directly referring to an existing method.
Predefined Methods: When the operation is already defined in a utility or object method.
List<String> names = Arrays.asList("Alice", "Bob", "Charlie");
names.forEach(System.out::println);
Standard Transformations: When using common operations like toUpperCase, parseInt, or sum.
List<String> upperCaseNames = names.stream().map(String::toUpperCase).toList();
Avoiding Redundant Code: When the lambda would do nothing but call a method.
List<Integer> lengths = names.stream().map(String::length).toList();
General Guidelines
Use Lambdas for Custom Behavior
If the logic is specific to the context and unlikely to be reused, prefer lambdas. They keep the code self-contained.
Example:
Predicate<String> startsWithA = name -> name.startsWith("A");
Use Method References for Readability
If the operation involves a well-known or existing method, prefer a method reference to make the code more concise and readable.
Example:
names.forEach(System.out::println);
Avoid Overcomplicating with Lambdas
When lambdas become too complex or multiline, consider breaking the logic into a separate method or using an anonymous class instead. Overly complicated lambdas can hurt readability.
Bad:
Comparator<Person> personComparator = (p1, p2) -> {
int ageComparison = Integer.compare(p1.getAge(), p2.getAge());
if (ageComparison == 0) {
return p1.getName().compareTo(p2.getName());
}
return ageComparison;
};
Good:
Comparator<Person> personComparator = Comparator
.comparing(Person::getAge)
.thenComparing(Person::getName);
Use Method References Sparingly in Complex Chains
While method references are concise, overusing them in a long stream chain can make the logic harder to follow. Use them only when they genuinely improve readability.
Example of Overuse:
List<String> result = names.stream()
.filter(String::isEmpty)
.map(String::trim)
.sorted(String::compareToIgnoreCase)
.toList();
Consider adding comments or intermediate variables for clarity.
The Role of Functional Interfaces
Functional interfaces serve as the foundation for lambdas and method references. Without them, there would be no contract for these concise representations to fulfill. Every lambda or method reference is essentially providing an implementation for a functional interface.
Rules of Thumb for Using Functional Interfaces
Identify Reusable Behaviors: Look for repetitive patterns in your code that can be abstracted into a functional interface.
@FunctionalInterface
interface Validator<T> {
boolean validate(T t);
}
Leverage Built-In Interfaces: Use Java’s Function, Consumer, Predicate, and Supplier wherever possible to avoid reinventing the wheel.
Custom Functional Interfaces: Create your own functional interfaces only when none of the existing ones match your needs. Always annotate them with @FunctionalInterface to make your intent clear.
Identifying Functional Programming Opportunities
Functional programming can simplify many tasks, but it’s important to recognize when it’s the right tool for the job. Here are some scenarios where functional programming excels:
Data Transformation
Use lambdas and streams for transforming collections, such as mapping objects to their properties or converting data types.
Example:
List<Integer> squaredNumbers = numbers.stream()
.map(num -> num * num)
.toList();
Filtering and Searching
When working with collections, lambdas and method references are perfect for filtering or finding elements.
Example:
List<String> filteredNames = names.stream()
.filter(name -> name.length() > 3)
.toList();
Declarative Logic
Use lambdas and streams to express what needs to be done rather than how to do it.
Example:
long count = names.stream().filter(name -> name.startsWith("A")).count();
Parallelism
Functional programming works well with parallel streams to process large data sets efficiently.
Example:
int sum = numbers.parallelStream()
.filter(num -> num % 2 == 0)
.reduce(0, Integer::sum);
Lambdas, method references, and functional interfaces together bring functional programming into Java in a way that’s both powerful and approachable. By understanding when to use lambdas versus method references and recognizing opportunities for functional programming, you can write code that’s concise, expressive, and elegant.
Always prioritize readability and maintainability. A concise solution is valuable only if it’s also clear to the reader. Strive to use these tools thoughtfully, letting them enhance your code without overwhelming it.
Sharpen Your Skills
To solidify your understanding of functional interfaces, lambdas, and method references, here are some practical challenges. Start simple, and as you progress, the complexity will increase. Feel free to experiment and adapt the examples to deepen your learning.
Problem 1: Filter and Print Names
Given a list of names, write a program to:
Example Input:
List<String> names = Arrays.asList("Alice", "Bob", "Charlie", "Dan", "Eve");
Expected Output:
ALICE
CHARLIE
Create a functional interface StringTransformer with a method String transform(String input). Use a lambda to:
Reverse a string.
Convert a string to uppercase.
Example Input:
String input = "hello";
Expected Output for Reverse:
olleh
Expected Output for Uppercase:
HELLO
Problem 3: Calculate Total Price of Books
Create a Book class with fields title and price. Write a program to:
Filter books with a price greater than $20.
Calculate the total price of the remaining books using reduce.
Example Input:
List<Book> books = Arrays.asList(
new Book("Book1", 15),
new Book("Book2", 25),
new Book("Book3", 30)
);
Expected Output:
Total Price: 55
Problem 4: Sort by Custom Rules
Given a list of strings, sort them:
By their length.
Alphabetically for strings of the same length.
Example Input:
List<String> words = Arrays.asList("apple", "bat", "cat", "banana", "an");
Expected Output:
[an, bat, cat, apple, banana]
Problem 5: Grouping by Criteria
Create a Person class with fields name and age. Write a program to group people by age and print their names in a comma-separated format for each group.
Example Input:
List<Person> people = Arrays.asList(
new Person("Alice", 30),
new Person("Bob", 25),
new Person("Charlie", 30),
new Person("Dan", 25)
);
Expected Output:
Age 25: Bob, Dan
Age 30: Alice, Charlie
Problem 6: Find the Longest Word
Given a list of words, write a program to find the longest word using reduce.
Example Input:
List<String> words = Arrays.asList("functional", "interface", "lambda", "stream");
Expected Output:
Longest Word: functional
Problem 7: Chain Operations
Given a list of integers, write a program to:
Square each number.
Filter out numbers greater than 50.
Sort the remaining numbers in descending order.
Example Input:
List<Integer> numbers = Arrays.asList(3, 7, 2, 9, 5);
Expected Output:
[49, 25, 9, 4]
Problem 8: Create a Factory with Constructor References
Write a factory method that creates instances of a class Rectangle using constructor references. The Rectangle class should have width and height as fields.
Example Input:
Rectangle rect = rectangleFactory.create(5, 10);
System.out.println(rect.getArea());
Expected Output:
Area: 50
Problem 9: Nested Streams for Data Aggregation
Given a list of departments, each containing a list of employees, write a program to:
Extract all employee names.
Remove duplicates.
Sort the names alphabetically.
Example Input:
class Department {
List<Employee> employees;
}
class Employee {
String name;
}
Expected Output:
[Alice, Bob, Charlie, Eve]
Problem 10: Word Frequency Counter
Given a list of sentences, write a program to:
Split each sentence into words.
Count the frequency of each word.
Sort the words by their frequency in descending order.
Example Input:
List<String> sentences = Arrays.asList(
"lambda expressions are concise",
"expressions are powerful",
"functional programming is fun"
);
Expected Output:
are: 3
expressions: 2
lambda: 1
concise: 1
powerful: 1
functional: 1
programming: 1
is: 1
fun: 1
Practice makes perfect! These problems are designed to help you apply what you’ve learned about functional interfaces, lambdas, and method references. Experiment with both lambda expressions and method references, and try different approaches to see what feels most natural and readable. Happy coding!