Java基于fork/koin类实现并发排序

概述

主要谈一谈 Java使用fork/koin类 实现的并发排序 以及对于Stream流的支持的splitetor

mismatch() -> 寻找两个数组 第一次出现数据不一致的下标 parallelPrefix() -> 对数组进行,累加求和 parallelSetAll() -> 对数组进行置数, parallelSort() -> 并行排序 Spliterator() -> 对数组进行切分(切分后的数据为所有的数据的组合)

奇数 x/2+1 11->6

偶数 x/2 10 ==>5

public class Use_Arrays { @Test public void test_mismatch() { int []x =new int[] {1,2,3,4}; int []y =new int[] {1,3,4,5}; int index = Arrays.mismatch(x, y); System.out.println(index); } @Test public void test_parallelPrefix() { int []x =new int[] {1,2,3,4}; //f2=f1+f2 //f3=f2+f3 Arrays.parallelPrefix(x, (k,v)->k+v); System.out.println(Arrays.toString(x));// 实现1-100累加求和 int []y =new int[100]; Arrays.parallelSetAll(y, k->k=1); Arrays.parallelPrefix(y, (k,v)->k+v); System.out.println(Arrays.toString(y)); } @Test public void test_parallelSetAll() { int []x =new int[100]; x[0]=1; Arrays.parallelSetAll(x, y->y+1); System.out.println(Arrays.toString(x)); } @Test public void test_parallSort() { IntStream stream = new Random().ints(0, 1000).limit(1000); int[] array = stream.toArray(); System.out.println(Arrays.toString(array)); Arrays.parallelSort(array); System.out.println(Arrays.toString(array)); } @Test public void test_spliterator() { int []x =new int[11]; Arrays.parallelSetAll(x, k->k+=1); System.out.println(Arrays.toString(x));Spliterator.OfInt int0_100 = Arrays.spliterator(x);int [] y=new int[(int) int0_100.estimateSize()]; int i=0; System.out.println(int0_100.estimateSize()); System.out.println(int0_100.characteristics()); System.out.println(int0_100.getExactSizeIfKnown());//spliterator.forEachRemaining((int k)->System.out.println(k));OfInt int1_50 = int0_100.trySplit(); OfInt int2_25 = int1_50.trySplit(); int0_100.forEachRemaining((int k)->System.out.print(k+' ')); System.out.println(); int1_50.forEachRemaining((int k)->System.out.print(k+' ')); System.out.println(); int2_25.forEachRemaining((int k)->System.out.print(k+' ')); }}

2:使用Spliterator实现并行输出

@Test public void definied_Sort() { IntStream stream = new Random().ints(0, 100).limit(100); int[] array = stream.toArray(); Arrays.sort(array); final int NUMS=3;// 切分的次数 ExecutorService thread_pool = Executors.newFixedThreadPool(10); Spliterator.OfInt cut1 = Arrays.spliterator(array); while(!thread_pool.isTerminated()) { thread_pool.submit(()->{ OfInt split = cut1.trySplit(); thread_pool.shutdown(); split.forEachRemaining((int k)->System.out.print(k+' ')); System.out.println(); }); } }

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