Kuidas Java-s rakendatakse andmete paralleelne töötlemine kasutades meetodit parallelStream?

In Java, the parallelStream() method allows performing operations on collections in parallel, using multiple threads from a shared ForkJoinPool. This speeds up processing large volumes of data by parallelizing tasks.

Example of usage:

import java.util.Arrays;
import java.util.List;

public class ParallelStreamExample {
    public static void main(String[] args) {
        List<Integer> numbers = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);

        int sumOfSquares = numbers.parallelStream()
            .mapToInt(n -> n * n)
            .sum();

        System.out.println("Sum of squares: " + sumOfSquares);
    }
}

In this example, the calculation of the squares of numbers and their summation is performed in parallel, which can improve performance on multi-core processors. It is important that operations are side-effect free to avoid thread safety issues.