📘 Premium Read: Access my best content on Medium member-only articles — deep dives into Java, Spring Boot, Microservices, backend architecture, interview preparation, career advice, and industry-standard best practices.
🎓 Top 15 Udemy Courses (80-90% Discount): My Udemy Courses - Ramesh Fadatare — All my Udemy courses are real-time and project oriented courses.
▶️ Subscribe to My YouTube Channel (176K+ subscribers): Java Guides on YouTube
▶️ For AI, ChatGPT, Web, Tech, and Generative AI, subscribe to another channel: Ramesh Fadatare on YouTube
The LinkedHashSet.parallelStream()
method in Java is used to create a parallel stream over the elements in a LinkedHashSet
.
Table of Contents
- Introduction
parallelStream
Method Syntax- Examples
- Creating a Parallel Stream from a LinkedHashSet
- Processing Elements in Parallel
- Conclusion
Introduction
The LinkedHashSet.parallelStream()
method is a member of the LinkedHashSet
class in Java. It allows you to create a parallel stream over the elements in the LinkedHashSet
, enabling parallel processing of the elements.
parallelStream() Method Syntax
The syntax for the parallelStream
method is as follows:
public Stream<E> parallelStream()
- The method does not take any parameters.
- The method returns a
Stream
over the elements in theLinkedHashSet
, which can be processed in parallel.
Examples
Creating a Parallel Stream from a LinkedHashSet
The parallelStream
method can be used to create a parallel stream from a LinkedHashSet
.
Example
import java.util.LinkedHashSet; import java.util.stream.Stream; public class ParallelStreamExample { public static void main(String[] args) { // Creating a LinkedHashSet of Strings LinkedHashSet<String> animals = new LinkedHashSet<>(); // Adding elements to the LinkedHashSet animals.add("Lion"); animals.add("Tiger"); animals.add("Elephant"); // Creating a parallel stream from the LinkedHashSet Stream<String> parallelStream = animals.parallelStream(); // Printing the elements of the parallel stream parallelStream.forEach(animal -> System.out.println("Animal: " + animal)); } }
Output (order may vary due to parallel processing):
Animal: Lion Animal: Tiger Animal: Elephant
Processing Elements in Parallel
Parallel streams can be used to process elements in parallel, which can improve performance for certain operations.
Example
import java.util.LinkedHashSet; import java.util.stream.Collectors; import java.util.stream.Stream; public class ParallelProcessingExample { public static void main(String[] args) { // Creating a LinkedHashSet of Strings LinkedHashSet<String> animals = new LinkedHashSet<>(); // Adding elements to the LinkedHashSet animals.add("Lion"); animals.add("Tiger"); animals.add("Elephant"); animals.add("Giraffe"); animals.add("Zebra"); // Creating a parallel stream from the LinkedHashSet Stream<String> parallelStream = animals.parallelStream(); // Collecting the elements in uppercase in parallel LinkedHashSet<String> upperCaseAnimals = parallelStream .map(String::toUpperCase) .collect(Collectors.toCollection(LinkedHashSet::new)); // Printing the elements of the upperCaseAnimals LinkedHashSet upperCaseAnimals.forEach(animal -> System.out.println("Animal: " + animal)); } }
Output (order may vary due to parallel processing):
Animal: LION Animal: TIGER Animal: ELEPHANT Animal: GIRAFFE Animal: ZEBRA
Conclusion
The LinkedHashSet.parallelStream()
method in Java provides a way to create a parallel stream over the elements in a LinkedHashSet
. By understanding how to use this method, you can leverage parallel processing to improve the performance of certain operations. This method is useful for processing collections in parallel, making it a valuable tool for managing large datasets and performing complex operations in your Java applications.
Comments
Post a Comment
Leave Comment