A functional interface in Java is any with @FunctionalInterface annotation and with SAM(Single Abstract Method). It was introduced to facilitate Lambda expressions. Since a lambda function can only provide the implementation for one method, it is mandatory for the functional interfaces to have only one abstract method. Java has defined a lot of functional interfaces in java.util.function package. Some of them are Consumer, Supplier, Function and Predicate.
Consumer has an accept(Object) method and represents an operation that accepts a single input argument and returns no result. Let’s consider the following example:
package com.jos.dem.functional;
import java.util.function.Consumer;
public class ConsumerExample {
public static void main(String[] args) {
Consumer<String> consumer = x -> System.out.println(x.toLowerCase());
consumer.accept("JOSDEM");
}
}
Output:
josdem
Supplier can be used in all contexts where there is no input but an output is expected. Functional method is get(). Let’s consider the following example:
package com.jos.dem.functional;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import java.util.function.Supplier;
import static org.junit.jupiter.api.Assertions.assertEquals;
class SupplierTest {
@Test
@DisplayName("Understands how to get a string using supplier")
public void shouldSupplyAnString() {
Supplier<String> supplier = () -> "josdem";
assertEquals("josdem", supplier.get());
}
}
Function<T,R> is used in all scenarios where an object T is the input, an operation is performed on it and and object R is returned as output. Functional method is apply(T). Let’s consider the following example:
package com.jos.dem.functional;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.util.function.Function;
import org.junit.jupiter.api.Test;
public class FunctionTest {
@Test
@DisplayName("Understands how to get string lenght")
public void shouldGetStringLenght() {
Integer expectedResult = 6;
Function<String, Integer> function = string -> string.length();
assertEquals(expectedResult, function.apply("josdem"));
}
}
andThen() method combines the current Function instance with another one and returns a combined Function instance which applies the two functions in sequence.
@Test
@DisplayName("Understands how to get josdem lenght and if it is even")
public void shouldKnowIfNicknameLengthIsEven() {
Function<String, Integer> lenghtFunction = string -> string.length();
Function<Integer, Boolean> evenFunction = integer -> integer % 2 == 0;
assertTrue(lenghtFunction.andThen(evenFunction).apply("josdem"));
}
Static method Function.identity() it just returns back the parameter which it gets as input.
@Test
@DisplayName("Understands how to get function identity")
public void shouldGetFunctionIdentity(){
Function<String, String> function = Function.identity();
assertEquals("josdem", function.apply("josdem"));
}
That’s it, in fact, we can write x -> x instead of Function.identity() and in some cases it’s clearer. Here is a list of common basic functions and how they can be written using lambda. The complete test is here:
package com.jos.dem.functional;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.util.function.Function;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.DisplayName;
public class FunctionTest {
@Test
@DisplayName("Understands how to get string lenght")
public void shouldGetStringLenght(){
Integer expectedResult = 6;
Function<String, Integer> function = string -> string.length();
assertEquals(expectedResult, function.apply("josdem"));
}
@Test
@DisplayName("Understands how to get josdem lenght and if it is even")
public void shouldKnowIfNicknameLengthIsEven(){
Function<String, Integer> lenghtFunction = string -> string.length();
Function<Integer, Boolean> evenFunction = integer -> integer % 2 == 0;
assertTrue(lenghtFunction.andThen(evenFunction).apply("josdem"));
}
@Test
@DisplayName("Understands how to get function identity")
public void shouldGetFunctionIdentity(){
Function<String, String> function = Function.identity();
assertEquals("josdem", function.apply("josdem"));
}
}
TheUnaryOperator takes one argument and returns a result of the same type, so you can replace Function<Integer, Integer> with UnaryOperator<Integer>
package com.jos.dem.functional;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import java.util.function.UnaryOperator;
import static org.junit.jupiter.api.Assertions.assertEquals;
class UnaryOperatorTest {
@Test
@DisplayName("Unary operator example")
void shouldTestUnaryOperator() {
UnaryOperator<Integer> unaryOperator = x -> x * 2;
assertEquals(Integer.valueOf(8), unaryOperator.apply(4));
}
}
Runnable:
Since Java 8 Runnable is a functional interface and can therefore be used as the assignment target for a lambda expression or method reference. Please consider this silly example of Runnable
package com.jos.dem.functional;
import static org.junit.jupiter.api.Assertions.assertTrue;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.DisplayName;
public class RunnableTest {
Runnable runnable = () -> System.out.println("Hello World!");
@Test
@DisplayName("Understands runnable instance as lambda expression")
public void shouldKnowValidateRunnableInstance(){
assertTrue(runnable instanceof Runnable);
}
}
Predicate is also a functional interface, it is a statement that could be evaluated to true or false. Filter is a popular aggregate operation and this is filter() formal definition: Returns a stream consisting of the elements of this stream that match the given predicate.
Stream<T> filter(Predicate<? super T> predicate);
Let’s consider the following example:
private List<Person> persons = Arrays.asList(
new Person("josdem", 5),
new Person("tgrip", 4),
new Person("edzero", 3),
new Person("jeduan", 5),
new Person("siedrix", 5)
);
@Test
@DisplayName("Understands how to get persons with four in ranking or more")
public void shouldGetPersonsWithFourInRankingOrMore(){
Predicate<Person> isHighRanked = person -> person.getRanking() >= 4;
assertEquals(4, persons.stream().filter(isHighRanked).count());
}
Person is just a POJO with nickname as String and ranking as integer attributes. We can chain filters with predicate as the following example shows:
@Test
@DisplayName("Understands how to get persons high ranked and starts with J")
public void shouldGetPersonsHighRankedAndStartsWithJ() {
Predicate<Person> isHighRanked = person -> person.getRanking() >= 4;
Predicate<Person> startsWithJ = person -> person.getNickname().startsWith("j");
assertEquals(2, persons.stream().filter(isHighRanked).filter(startsWithJ).count());
}
This is the complete test:
package com.jos.dem.functional;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import java.util.Arrays;
import java.util.List;
import java.util.function.Predicate;
import static org.junit.jupiter.api.Assertions.assertEquals;
class PredicateTest {
private final List<Person> persons =
Arrays.asList(
new Person("josdem", 5),
new Person("tgrip", 4),
new Person("edzero", 3),
new Person("jeduan", 5),
new Person("siedrix", 5));
@Test
@DisplayName("Understands how to get persons with four in ranking or more")
public void shouldGetPersonsWithFourInRankingOrMore() {
Predicate<Person> isHighRanked = person -> person.getRanking() >= 4;
assertEquals(4, persons.stream().filter(isHighRanked).count());
}
@Test
@DisplayName("Understands how to get persons high ranked and starts with J")
public void shouldGetPersonsHighRankedAndStartsWithJ() {
Predicate<Person> isHighRanked = person -> person.getRanking() >= 4;
Predicate<Person> startsWithJ = person -> person.getNickname().startsWith("j");
assertEquals(2, persons.stream().filter(isHighRanked).filter(startsWithJ).count());
}
}
Finally, let’s combine functions and predicates in this example: Let’s suppose that we want to get all nicknames starting with “j” and ranked more than 3.
@Test
@DisplayName("should filter by high ranked and starts with J")
void shouldFilterByHighRankedAndLetter(){
List<String> expectedPersons = Arrays.asList("josdem", "jeduan");
Function<Person, String> nicknames = (p) -> p.getNickname();
List<String> names = persons.stream()
.filter(p -> p.getRanking() > 4)
.map(nicknames)
.filter(n -> n.startsWith("j"))
.collect(Collectors.toList());
assertEquals(2, names.size(), "should have two names");
assertEquals(expectedPersons, names, "should have expected filtered persons");
}
BiConsumer Is also a functional interface and represents an operation that accepts two input arguments and returns no result. BiConsumer is useful when you need to create a function with two arguments and returns nothing, please consider the following example:
package com.jos.dem.functional;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import java.util.function.BiConsumer;
import static org.junit.jupiter.api.Assertions.assertEquals;
class BiConsumerTest {
@Test
@DisplayName("should test bi-consumer")
void shouldValidateString() {
BiConsumer<Integer, String> consumer =
(rank, nickname) -> {
Person person = new Person(nickname, rank);
assertEquals("josdem", person.getNickname());
assertEquals(Integer.valueOf(5), person.getRanking());
};
consumer.accept(5, "josdem");
}
}
BiFunction Is also a functional interface and represents a function that accepts two arguments and produces a result. Please consider the following example which takes a nickname as String, List of person as input and returns a person who matches with some criteria.
package com.jos.dem.functional;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import java.util.Arrays;
import java.util.List;
import java.util.function.BiFunction;
import static org.junit.jupiter.api.Assertions.assertTrue;
class BiFunctionTest {
private static final int MIN_RANKING = 4;
private final List<Person> persons =
Arrays.asList(
new Person("josdem", 5),
new Person("tgrip", 4),
new Person("edzero", 3),
new Person("jeduan", 5),
new Person("siedrix", 5));
@Test
@DisplayName("test bi-function")
void shouldTestBiFunction() {
Person expectedPerson = new Person("josdem", 5);
BiFunction<String, List<Person>, Person> function =
(nickname, persons) ->
persons.stream()
.filter(p -> p.getNickname().equals(nickname) && p.getRanking() >= MIN_RANKING)
.findAny()
.orElse(new Person());
assertTrue(expectedPerson.equals(function.apply("josdem", persons)), "should find person");
}
}
To browse the code go here, to download the code:
git clone git@github.com:josdem/java-workshop.git
cd functional-interfaces
To run the code:
javac ${JAVA_PROGRAM}.java
java ${JAVA_PROGRAM}
To test the code using Gradle:
gradle test
To test the code using Maven:
mvn test