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In Java 8, a new interface Spliterator ("split-iterator" splitter) was added, which can be used to perform splitter operations on data streams. This interface can split a sequence of elements into small chunks, which can be processed separately and processed in a parallel manner for better performance.
In this article, we will learn how to use the Spliterator interface for splitter operations.
Spliterator is a new interface in Java 8, which is used to support data streaming processing. It is the abbreviation of "split-iterator", which means that the data stream can be divided into multiple small pieces, and these small pieces can be processed independently. This interface can be used to handle data collections such as collections, arrays, I/O buffers, and Java streams.
There are some common methods in the Spliterator interface:
① tryAdvance() method:
This method is used to process each element in the data stream. If there are no more If the element needs to be processed, it returns false, otherwise it returns true.
② trySplit() method:
This method splits the data stream into two sub-collections, which can be processed in parallel. If the data stream is too small to be split, null will be returned.
③ estimateSize() method:
This method returns an estimate of the number of elements in the data stream.
④ characteristics() method:
This method returns the characteristics of the elements in the data stream.
We can perform splitter operations on the data stream by calling the method of the Spliterator interface. Here is a sample code using Spliterator:
import java.util.ArrayList; import java.util.List; import java.util.Spliterator; public class SplitIteratorExample { public static void main(String[] args) { List<String> names = new ArrayList<>(); names.add("John"); names.add("Mike"); names.add("Tom"); names.add("Jerry"); names.add("Peter"); Spliterator<String> s1 = names.spliterator(); System.out.println("Estimate size: " + s1.estimateSize()); System.out.println("Characteristics: " + s1.characteristics()); s1.forEachRemaining(name -> System.out.println(name)); Spliterator<String> s2 = s1.trySplit(); System.out.println("Spliterator s1"); s1.forEachRemaining(name -> System.out.println(name)); System.out.println("Spliterator s2"); s2.forEachRemaining(name -> System.out.println(name)); } }
This sample code creates a list of strings and stores it in a List object named "names". We called the spiterator method of List and obtained a Spliterator instance s1. Then we can use the method in this Spliterator to implement splitter operations on the data stream.
First, we call the estimateSize() method, which returns the estimated number of elements in the data stream. We called the characteristics() method to return the characteristics of the elements in the data stream.
Then, we use the forEachRemaining() method to loop through all the elements in the entire stream. The parameter of this method is a Lambda expression for processing each element.
Next, we called the trySplit() method to split the data stream into two sub-sets s1 and s2. We use the forEachRemaining() method to print the elements in the split s1 and s2 respectively.
The Spliterator interface of Java 8 can be used to perform splitter operations on data streams. It can split the data stream into small chunks and process these chunks in parallel to improve efficiency. By implementing methods of the Spliterator interface, we can operate on data collections such as collections, arrays, I/O buffers, and Java streams. This interface provides us with a more convenient and efficient way to handle data streams.
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