stream的并行流要理解一个框架如下:

jdk8--stream并行流-LMLPHP

jdk8--stream并行流-LMLPHP

单线程,多线程和并行流对比

package com.atguigu.java8;

import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.ForkJoinTask;
import java.util.stream.LongStream; import org.junit.Test; public class TestForkJoin {
//线程池
@Test
public void test1(){
long start = System.currentTimeMillis(); ForkJoinPool pool = new ForkJoinPool();
ForkJoinTask<Long> task = new ForkJoinCalculate(0L, 10000000000L); long sum = pool.invoke(task);
System.out.println(sum); long end = System.currentTimeMillis(); System.out.println("耗费的时间为: " + (end - start)); //112-1953-1988-2654-2647-20663-113808
} //单线程
@Test
public void test2(){
long start = System.currentTimeMillis(); long sum = 0L; for (long i = 0L; i <= 10000000000L; i++) {
sum += i;
} System.out.println(sum); long end = System.currentTimeMillis(); System.out.println("耗费的时间为: " + (end - start)); //34-3174-3132-4227-4223-31583
} //并行流
@Test
public void test3(){
long start = System.currentTimeMillis(); Long sum = LongStream.rangeClosed(0L, 10000000000L)
.parallel()
.sum(); System.out.println(sum); long end = System.currentTimeMillis(); System.out.println("耗费的时间为: " + (end - start)); //2061-2053-2086-18926
} }
05-07 15:49