The HashSet.parallelStream()
method in Java is used to create a parallel Stream
with the elements of the HashSet
as its source. This guide will cover the method’s usage, explain how it works, and provide examples to demonstrate its functionality.
Table of Contents
- Introduction
parallelStream
Method Syntax- Examples
- Creating a Parallel Stream from a HashSet
- Using Parallel Stream for Concurrent Processing
- Collecting Parallel Stream Results into a List
- Conclusion
Introduction
The HashSet.parallelStream()
method is a member of the HashSet
class in Java. It allows you to create a parallel Stream
from the elements in the HashSet
. Parallel streams enable parallel processing of data, allowing operations to be performed concurrently for better performance on multi-core processors.
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<E>
representing a parallel stream of elements in theHashSet
.
Examples
Creating a Parallel Stream from a HashSet
The parallelStream
method can be used to create a parallel Stream
from the elements in a HashSet
.
Example
import java.util.HashSet;
import java.util.stream.Stream;
public class ParallelStreamExample {
public static void main(String[] args) {
// Creating a HashSet of Strings
HashSet<String> languages = new HashSet<>();
// Adding elements to the HashSet
languages.add("Java");
languages.add("Python");
languages.add("C");
// Creating a parallel Stream from the HashSet
Stream<String> parallelStream = languages.parallelStream();
// Printing the elements in the parallel Stream
System.out.println("Elements in the parallel Stream:");
parallelStream.forEach(System.out::println);
}
}
Output:
Elements in the parallel Stream:
Java
C
Python
Using Parallel Stream for Concurrent Processing
You can use the parallelStream
method to perform operations on the elements concurrently.
Example
import java.util.HashSet;
public class ConcurrentProcessingExample {
public static void main(String[] args) {
// Creating a HashSet of Strings
HashSet<String> languages = new HashSet<>();
// Adding elements to the HashSet
languages.add("Java");
languages.add("Python");
languages.add("C");
languages.add("JavaScript");
// Using parallel Stream to process elements concurrently
languages.parallelStream()
.filter(lang -> lang.startsWith("J"))
.forEach(lang -> System.out.println(Thread.currentThread().getName() + " processed: " + lang));
}
}
Output:
ForkJoinPool.commonPool-worker-1 processed: Java
ForkJoinPool.commonPool-worker-3 processed: JavaScript
Collecting Parallel Stream Results into a List
You can use the parallelStream
method to create a parallel Stream
, apply operations, and then collect the results into a list.
Example
import java.util.HashSet;
import java.util.List;
import java.util.stream.Collectors;
public class CollectParallelStreamExample {
public static void main(String[] args) {
// Creating a HashSet of Strings
HashSet<String> languages = new HashSet<>();
// Adding elements to the HashSet
languages.add("Java");
languages.add("Python");
languages.add("C");
languages.add("JavaScript");
// Creating a parallel Stream from the HashSet and collecting the results into a list
List<String> filteredList = languages.parallelStream()
.filter(lang -> lang.startsWith("J"))
.collect(Collectors.toList());
// Printing the collected list
System.out.println("Collected list from the parallel Stream:");
filteredList.forEach(System.out::println);
}
}
Output:
Collected list from the parallel Stream:
Java
JavaScript
Conclusion
The HashSet.parallelStream()
method in Java provides a way to create a parallel Stream
from the elements in a HashSet
. By understanding how to use this method, you can leverage parallel processing to perform operations concurrently, taking advantage of multi-core processors for better performance. Parallel streams offer a powerful way to process data in parallel, making your code more efficient and scalable.