java8 for ,forEach ,lambda forEach , strean forEach , parller stream forEach, Iterator性能对比
java8 for ,forEach ,Iterator,lambda forEach ,lambda strean forEach , lambda parller stream forEach性能对比
性能结果如下:
lambda parallelStream().forEach() > lambda stream().forEach() ≈ lambda forEach() > classical iterator ≈ classical forEach > classical for
测试代码如下:
public class ForTest {
public static void main(String[] args) {
for( int t=1;t<5;t++){
for(int tt=1;tt<=4;tt++){
List<Integer> testList = Arrays.asList(new Integer[(int) Math.pow(100,(t))]);
long t1 = System.currentTimeMillis();
for(int i=0;i<testList.size();i++){
Integer b = testList.get(i);
}
long t2 = System.currentTimeMillis();
for(Integer i:testList){
Integer b = i;
}
long t3 = System.currentTimeMillis();
testList.forEach(integer -> {Integer b = integer;});
long t4 = System.currentTimeMillis();
testList.stream().forEach(integer -> {Integer b = integer;});
long t5 = System.currentTimeMillis();
testList.parallelStream().forEach(integer -> {Integer b = integer;});
long t6 = System.currentTimeMillis();
Integer b;
for(Iterator<Integer> iterator = testList.iterator(); iterator.hasNext(); b = iterator.next());
long t7 = System.currentTimeMillis();
System.out.println("x" + tt +": loop size:" + testList.size());
System.out.println("y" + t + ": classical for loop waste millisecond:"+(t2-t1));
System.out.println("y" + t + ": classical forEach loop waste millisecond:"+(t3-t2));
System.out.println("y" + t + ": lambda forEach loop waste millisecond:"+(t4-t3));
System.out.println("y" + t + ": lambda not parallel stream forEach loop waste millisecond:"+(t5-t4));
System.out.println("y" + t + ": lambda parallel stream forEach loop waste millisecond:"+(t6-t5));
System.out.println("y" + t + ": classical iterator loop waste millisecond:"+(t7-t6)+"\n");
}
}
}
}
测试结果:
x1: loop size:100
y1: classical for loop waste millisecond:0
y1: classical forEach loop waste millisecond:0
y1: lambda forEach loop waste millisecond:74
y1: lambda not parallel stream forEach loop waste millisecond:2
y1: lambda parallel stream forEach loop waste millisecond:7
y1: classical iterator loop waste millisecond:0 x2: loop size:100
y1: classical for loop waste millisecond:0
y1: classical forEach loop waste millisecond:0
y1: lambda forEach loop waste millisecond:1
y1: lambda not parallel stream forEach loop waste millisecond:0
y1: lambda parallel stream forEach loop waste millisecond:0
y1: classical iterator loop waste millisecond:0 x3: loop size:100
y1: classical for loop waste millisecond:1
y1: classical forEach loop waste millisecond:0
y1: lambda forEach loop waste millisecond:0
y1: lambda not parallel stream forEach loop waste millisecond:1
y1: lambda parallel stream forEach loop waste millisecond:0
y1: classical iterator loop waste millisecond:0 x4: loop size:100
y1: classical for loop waste millisecond:0
y1: classical forEach loop waste millisecond:0
y1: lambda forEach loop waste millisecond:0
y1: lambda not parallel stream forEach loop waste millisecond:0
y1: lambda parallel stream forEach loop waste millisecond:0
y1: classical iterator loop waste millisecond:0 x1: loop size:10000
y2: classical for loop waste millisecond:1
y2: classical forEach loop waste millisecond:0
y2: lambda forEach loop waste millisecond:1
y2: lambda not parallel stream forEach loop waste millisecond:0
y2: lambda parallel stream forEach loop waste millisecond:1
y2: classical iterator loop waste millisecond:1 x2: loop size:10000
y2: classical for loop waste millisecond:1
y2: classical forEach loop waste millisecond:1
y2: lambda forEach loop waste millisecond:0
y2: lambda not parallel stream forEach loop waste millisecond:0
y2: lambda parallel stream forEach loop waste millisecond:1
y2: classical iterator loop waste millisecond:1 x3: loop size:10000
y2: classical for loop waste millisecond:0
y2: classical forEach loop waste millisecond:1
y2: lambda forEach loop waste millisecond:0
y2: lambda not parallel stream forEach loop waste millisecond:0
y2: lambda parallel stream forEach loop waste millisecond:1
y2: classical iterator loop waste millisecond:0 x4: loop size:10000
y2: classical for loop waste millisecond:1
y2: classical forEach loop waste millisecond:0
y2: lambda forEach loop waste millisecond:0
y2: lambda not parallel stream forEach loop waste millisecond:0
y2: lambda parallel stream forEach loop waste millisecond:1
y2: classical iterator loop waste millisecond:0 x1: loop size:1000000
y3: classical for loop waste millisecond:14
y3: classical forEach loop waste millisecond:9
y3: lambda forEach loop waste millisecond:6
y3: lambda not parallel stream forEach loop waste millisecond:8
y3: lambda parallel stream forEach loop waste millisecond:3
y3: classical iterator loop waste millisecond:7 x2: loop size:1000000
y3: classical for loop waste millisecond:17
y3: classical forEach loop waste millisecond:12
y3: lambda forEach loop waste millisecond:7
y3: lambda not parallel stream forEach loop waste millisecond:0
y3: lambda parallel stream forEach loop waste millisecond:1
y3: classical iterator loop waste millisecond:18 x3: loop size:1000000
y3: classical for loop waste millisecond:14
y3: classical forEach loop waste millisecond:19
y3: lambda forEach loop waste millisecond:0
y3: lambda not parallel stream forEach loop waste millisecond:1
y3: lambda parallel stream forEach loop waste millisecond:0
y3: classical iterator loop waste millisecond:17 x4: loop size:1000000
y3: classical for loop waste millisecond:13
y3: classical forEach loop waste millisecond:25
y3: lambda forEach loop waste millisecond:1
y3: lambda not parallel stream forEach loop waste millisecond:0
y3: lambda parallel stream forEach loop waste millisecond:1
y3: classical iterator loop waste millisecond:31 x1: loop size:100000000
y4: classical for loop waste millisecond:237
y4: classical forEach loop waste millisecond:107
y4: lambda forEach loop waste millisecond:73
y4: lambda not parallel stream forEach loop waste millisecond:70
y4: lambda parallel stream forEach loop waste millisecond:28
y4: classical iterator loop waste millisecond:98 x2: loop size:100000000
y4: classical for loop waste millisecond:158
y4: classical forEach loop waste millisecond:92
y4: lambda forEach loop waste millisecond:59
y4: lambda not parallel stream forEach loop waste millisecond:54
y4: lambda parallel stream forEach loop waste millisecond:26
y4: classical iterator loop waste millisecond:66 x3: loop size:100000000
y4: classical for loop waste millisecond:123
y4: classical forEach loop waste millisecond:67
y4: lambda forEach loop waste millisecond:54
y4: lambda not parallel stream forEach loop waste millisecond:52
y4: lambda parallel stream forEach loop waste millisecond:21
y4: classical iterator loop waste millisecond:70 x4: loop size:100000000
y4: classical for loop waste millisecond:201
y4: classical forEach loop waste millisecond:92
y4: lambda forEach loop waste millisecond:54
y4: lambda not parallel stream forEach loop waste millisecond:53
y4: lambda parallel stream forEach loop waste millisecond:23
y4: classical iterator loop waste millisecond:67
java8 for ,forEach ,lambda forEach , strean forEach , parller stream forEach, Iterator性能对比的更多相关文章
- Java8特性之Lambda、方法引用以及Stream流
Java 8 中的 Streams API 详解:https://www.ibm.com/developerworks/cn/java/j-lo-java8streamapi/ Java笔记——Jav ...
- Java8新特性之forEach+Lambda 表达式遍历Map和List
这是Java8系列的第二篇,今天来说一下Java8中forEach的简单使用.我们使用对比的方式来看应该会看得更加清楚,更能理解: 一.遍历Map ============Java8之前的方式==== ...
- java8:(Lambda 表达式,Supplier,@FunctionalInterface,foreach(),Optional,Stream().collect,双冒号,joining,partitioningBy分区,collectingAndThen,filter())
1.Lambda 表达式: 引导:http://www.cnblogs.com/yulinfeng/p/8452379.html DEMO1: List<String> names1 = ...
- Java8 关于stream.foreach()和stream.peek()的区别解析
该思考来源于日常工作中,特记此心得. 思考:如何快速将list中的每个item内部属性值改变并进行其他流体操作呢? 下面做个测试:如何先在list中统一改变某属性的值,然后再根据某个属性取出该属性值最 ...
- 面试:Stream#foreach方法摸底三问,你都了解吗
JAVA8 新增了 Stream API,而在 Stream API 中又为程序员提供了一个遍历集合的 foreach 方法:java.util.stream.Stream#forEach. 那你对这 ...
- The 'stream().forEach()' chain can be replaced with 'forEach()' (may change semantics)
对集合操作时,因不同的写法Idea经常会提示:The 'stream().forEach()' chain can be replaced with 'forEach()' (may change s ...
- Java笔记——Java8特性之Lambda、方法引用和Streams
Java8已经推出了好一段时间了,而掌握Java8的新特性也是必要的,如果要进行Spring开发,那么可以发现Spring的官网已经全部使用Java8来编写示例代码了,所以,不学就看不懂. 这里涉及三 ...
- Java8学习笔记----Lambda表达式 (转)
Java8学习笔记----Lambda表达式 天锦 2014-03-24 16:43:30 发表于:ATA之家 本文主要记录自己学习Java8的历程,方便大家一起探讨和自己的备忘.因为本人 ...
- Java8一:Lambda表达式教程
1. 什么是λ表达式 λ表达式本质上是一个匿名方法.让我们来看下面这个例子: public int add(int x, int y) { return x + y; } 转成 ...
随机推荐
- JMeter安装时Binarys与Source,tgz与zip如何选择?
在 http://jmeter.apache.org/download_jmeter.cgi 或 http://jmeter.apache.org/ 的 Download 版块下载 JMet ...
- Intel汇编指令格式解析
环境: win7_x64旗舰版.VS2015企业版 一.Intel保护模式.实地址模式和虚拟8086模式指令格式(x86) 图在Intel手册2.1章节 1.1)Instruction Prefixe ...
- Spring MVC的原理及配置详解
网址链接:https://www.cnblogs.com/baiduligang/p/4247164.html
- softmax 损失函数求导过程
前言:softmax中的求导包含矩阵与向量的求导关系,记录的目的是为了回顾. 下图为利用softmax对样本进行k分类的问题,其损失函数的表达式为结构风险,第二项是模型结构的正则化项. 首先,每个qu ...
- 记录一次Struts s2-045重大安全漏洞修复过程
[升级修复] 受影响用户可升级版本至Apache Struts 2.3.32 或 Apache Struts 2..5.10.1以消除漏洞影响. 官方公告:https://cwiki..apache. ...
- ELK实践-Kibana定制化扩展
纵观任何一家大数据平台的技术架构,总少不了ElasticSearch:ES作为溶合了后端存储.快速检索.OLAP分析等功能的一套开源组件,更绝的是提供了一套集数据采集与前端展现为一体的框架(即ELK) ...
- 使用透视表pivot_table
使用透视表pivot_table 功能:从一张大而全的表格中提取出我们需要的信息来分析 import pandas as pd unames = ['user_id', 'gender', 'age' ...
- Azure CosmosDB (8) 性能指标Request Unit-RU
<Windows Azure Platform 系列文章目录> 本次将介绍Cosmos DB的性能指标RU (Request Unit). 总的来说,我们设置的Azure CosmosDB ...
- 【C++】关键字inline
1. 引入inline关键字的原因 在c/c++中,为了解决一些频繁调用的小函数大量消耗栈空间(栈内存)的问题,特别的引入了inline修饰符,表示为内联函数. 栈空间就是指放置程序的局部数据(也就是 ...
- 重置SQLSERVER表的自增列,让自增列重新计数
SQL的自增列挺好用,只是开发过程中一旦删除数据,标识列就不连续了 写起来 也很郁闷,所以查阅了一下标识列重置的方法 发现可以分为三种: --- 删除原表数据,并重置自增列truncate table ...