Java1.8新特性学习笔记

Java1.8中的Collections类的功能加强不少，你能够直接调用串行的Collections.stream()或并行的Collections.parallelStream()来对List，Set中的数据进行处理与操做（不支持Map）。

1：stream是什么？

    java.util.Stream是一个接口,是1.8引入。它表示了某原子的序列，能够对原子进行各类操做，Stream能够是中间操做，也能够作为最重操做。做为中间操做时返回流对象自己，做为最重操做时返回某种类型的值。做为中间操做时能够在这个流上屡次调用操做方法。

2：lambda表达式

其实lambda表达式实质上是个匿名函数，它由三部分组成：参数列表，箭头（->），以及一个表达式或语句块。来看一个示例：

public void sum(int a, int b){
    return a+b;
}

转为 lambda表达式为

(int a, int b) -> a + b;

还能够这样写，由于java会根据上下文推断出参数类型

(a, b) -> {return a + b;}

或

(a, b) -> a + b;

3：具体示例

package cn.huiyunche.driver.controller;

import java.util.ArrayList;
import java.util.List;
import java.util.UUID;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;

import org.apache.commons.collections.CollectionUtils;

public class Lambda {
	private static List<String> lambdaList = new ArrayList<>();
	
	private static String string = "string";
	private static String integer = "integer";
	
	public Lambda() {
		initData(string);
	}
	
	public static void initData(String flag) {
		if (CollectionUtils.isNotEmpty(lambdaList)) {
			lambdaList.clear();
		}
		if (string.equals(flag)) {
			lambdaList.add("Ulrica");
			lambdaList.add("Quella");
			lambdaList.add("Cecilia");
			lambdaList.add("Claudia");
			lambdaList.add("Desdemona");
			lambdaList.add("Indira");
		} else {
			lambdaList.add("1");
			lambdaList.add("2");
			lambdaList.add("2");
			lambdaList.add("3");
			lambdaList.add("3");
			lambdaList.add("4");
			lambdaList.add("4");
			lambdaList.add("4");
			lambdaList.add("5");
			lambdaList.add("5");
			lambdaList.add("5");
			lambdaList.add("6");
			lambdaList.add("6");
		}
	}
	
	// 这种方式就很少讲了，之前旧版本比较常见的作法
	public static void runThreadUseInnerClass() {
        new Thread(new Runnable() {
            @Override
            public void run() {
                System.out.println("内部类实现的线程");
            }
        }).start();
    }
	
	// 新版本写法
	public static void thred() {
		new Thread(() -> System.out.println("内部类实现的线程")).start();
	}
	
	// 遍历list
	public static void ergodicList() {
		initData(string);
		System.out.println("=================遍历list开始==========>>>>>>>>>>>");
		lambdaList.forEach((value) -> System.out.println("value = " + value));
		System.out.println("<<<<<<<<<<<======遍历list结束=====================");
	}
	
	// 正序排序list
	public static void asc() {
		initData(integer);
		System.out.println("=================正序排序list开始==========>>>>>>>>>>>");
		lambdaList.stream().sorted().forEach((value) -> System.out.println("value = " + value));
		System.out.println("=================正序排序list结束==========>>>>>>>>>>>");
	}
	
	// 倒序排序list
	public static void desc() {
		initData(integer);
		System.out.println("=================倒序排序list开始==========>>>>>>>>>>>");
		lambdaList.stream().sorted((a, b) -> b.compareTo(a)).forEach((value) -> System.out.println("value = " + value));
		System.out.println("=================倒序排序list结束==========>>>>>>>>>>>");
	}
	
	// 过滤
	public static void filter(String val) {
		initData(string);
		System.out.println("=================过滤开始==========>>>>>>>>>>>");
		lambdaList.stream().filter((value) -> value.toLowerCase().contains(val.toLowerCase())).forEach((value) -> System.out.println("value = " + value));
		System.out.println("=================过滤结束==========>>>>>>>>>>>");
	}
	
	// map使用
	public static void map() {
		initData(string);
		System.out.println("=================map使用开始==========>>>>>>>>>>>");
		//lambdaList.stream().map((value) -> value.toUpperCase()).forEach((value) -> System.out.println("value = " + value));
		lambdaList.stream().map(String::toUpperCase).forEach((value) -> System.out.println("value = " + value));
		System.out.println("=================map使用结束==========>>>>>>>>>>>");
	}
	
	//parallelStream (并行) 和 stream（串行）
	public static void stream() {
		System.out.println("=================parallelStream (并行) 和 stream（串行）开始==========>>>>>>>>>>>");
		int max = 1000000;
		long t0, t1, count, millis;
		List<String> list = new ArrayList<>(max);
		for (int i = 0; i < max; i++) {
			UUID uuid = UUID.randomUUID();
			list.add(uuid.toString());
		}
		// 串行
		t0 = System.nanoTime();
		count = list.stream().sorted().count();
		System.out.println("count = " + count);
		t1 = System.nanoTime();
		millis = TimeUnit.NANOSECONDS.toMillis(t1 - t0);
		System.out.println(String.format("串行排序耗时: %d ms", millis));
		
		System.out.println("===========================");
		
		long t00, t11, count0, millis0;
		List<String> list0 = new ArrayList<>(max);
		for (int i = 0; i < max; i++) {
			UUID uuid = UUID.randomUUID();
			list0.add(uuid.toString());
		}
		// 串行
		t00 = System.nanoTime();
		count0 = list0.stream().sorted().count();
		System.out.println("count0 = " + count0);
		t11 = System.nanoTime();
		millis0 = TimeUnit.NANOSECONDS.toMillis(t11 - t00);
		System.out.println(String.format("并行排序耗时: %d ms", millis0));
		
		System.out.println("===========================");
		
		long millis00;
		millis00 = TimeUnit.NANOSECONDS.toMillis((t1 - t0) - (t11 - t00));
		System.out.println(String.format("串行比并行排序多耗时: %d ms", millis00));
		
		System.out.println("=================parallelStream (并行) 和 stream（串行）结束==========>>>>>>>>>>>");
	}
	
	// noneMatch
	public static void noneMatch(String val) {
		System.out.println("=================noneMatch使用开始==========>>>>>>>>>>>");
		initData(string);
		boolean bool = lambdaList.stream().noneMatch((value) -> value.contains(val));
		System.out.println("contains bool = " + bool);
		bool = lambdaList.stream().noneMatch((value) -> value.endsWith(val));
		System.out.println("endsWith bool = " + bool);
		bool = lambdaList.stream().noneMatch((value) -> value.startsWith(val));
		System.out.println("startsWith bool = " + bool);
		System.out.println("=================noneMatch使用结束==========>>>>>>>>>>>");
		
	}
	
	// allMatch
	public static void allMatch(String val) {
		System.out.println("=================allMatch使用开始==========>>>>>>>>>>>");
		initData(string);
		boolean bool = lambdaList.stream().allMatch((value) -> value.startsWith(val));
		System.out.println("bool = " + bool);
		System.out.println("=================allMatch使用结束==========>>>>>>>>>>>");
		
	}
	
	// anyMatch
	public static void anyMatch(String val) {
		System.out.println("=================anyMatch使用开始==========>>>>>>>>>>>");
		initData(string);
		boolean bool = lambdaList.stream().anyMatch((value) -> value.matches(val));
		System.out.println("bool = " + bool);
		System.out.println("=================anyMatch使用结束==========>>>>>>>>>>>");
		
	}
	
	// collect(过滤数据，返回List)
	public static void collect(String val) {
		System.out.println("=================collect使用开始==========>>>>>>>>>>>");
		initData(string);
		List<String> lists = lambdaList.stream().filter((value) -> value.toLowerCase().contains(val.toLowerCase())).collect(Collectors.toList());
		System.out.println(String.format("lists.size: %d ", lists.size()));
		lists.forEach((value) -> System.out.println("value = " + value));
		System.out.println("=================collect使用结束==========>>>>>>>>>>>");
		
	}
	
	// reduce(拼接数据只返回一个结果集)
	public static void reduce() {
		System.out.println("=================reduce使用开始==========>>>>>>>>>>>");
		initData(string);
		lambdaList.stream().reduce((value1, value2) -> value1 + value2).ifPresent(System.out::println);
		System.out.println("=================reduce使用结束==========>>>>>>>>>>>");
		
	}
	
	// 统计大于2小于5
	public static void groupBysum() {
		System.out.println("=================统计大于2小于5使用开始==========>>>>>>>>>>>");
		initData(integer);
		lambdaList.parallelStream().map(Integer::new).filter(val -> val >= 2 && val <= 6).collect(Collectors.groupingBy(p -> new Integer(p), Collectors.summingInt(p -> p))).forEach((key, value) -> System.out.println("key = " + key + " value = " +value));
		System.out.println("=================统计大于2小于5使用结束==========>>>>>>>>>>>");
	}
	
	public static void main(String[] args) {
		thred();
		runThreadUseInnerClass();
		ergodicList();
		asc();
		desc();
		filter("c");
		map();
		stream();
		noneMatch("Claudia");
		allMatch("U");
		anyMatch("Claudia");
		collect("c");
		reduce();
		groupBysum();
	}

}

输出结果

内部类实现的线程
内部类实现的线程
=================遍历list开始==========>>>>>>>>>>>
value = Ulrica
value = Quella
value = Cecilia
value = Claudia
value = Desdemona
value = Indira
<<<<<<<<<<<======遍历list结束=====================
=================正序排序list开始==========>>>>>>>>>>>
value = 1
value = 2
value = 3
value = 4
value = 4
value = 4
value = 5
value = 6
=================正序排序list结束==========>>>>>>>>>>>
=================倒序排序list开始==========>>>>>>>>>>>
value = 6
value = 6
value = 5
value = 4
value = 3
value = 2
value = 1
=================倒序排序list结束==========>>>>>>>>>>>
=================过滤开始==========>>>>>>>>>>>
value = Ulrica
value = Cecilia
value = Claudia
=================过滤结束==========>>>>>>>>>>>
=================map使用开始==========>>>>>>>>>>>
value = ULRICA
value = QUELLA
value = CECILIA
value = CLAUDIA
value = DESDEMONA
value = INDIRA
=================map使用结束==========>>>>>>>>>>>
=================parallelStream (并行) 和 stream（串行）开始==========>>>>>>>>>>>
count = 1000000
串行排序耗时: 826 ms
===========================
count0 = 1000000
并行排序耗时: 781 ms
===========================
串行比并行排序多耗时: 44 ms
=================parallelStream (并行) 和 stream（串行）结束==========>>>>>>>>>>>
=================noneMatch使用开始==========>>>>>>>>>>>
contains bool = false
endsWith bool = false
startsWith bool = false
=================noneMatch使用结束==========>>>>>>>>>>>
=================allMatch使用开始==========>>>>>>>>>>>
bool = false
=================allMatch使用结束==========>>>>>>>>>>>
=================anyMatch使用开始==========>>>>>>>>>>>
bool = true
=================anyMatch使用结束==========>>>>>>>>>>>
=================collect使用开始==========>>>>>>>>>>>
lists.size: 3 
value = Ulrica
value = Cecilia
value = Claudia
=================collect使用结束==========>>>>>>>>>>>
=================reduce使用开始==========>>>>>>>>>>>
UlricaQuellaCeciliaClaudiaDesdemonaIndira
=================reduce使用结束==========>>>>>>>>>>>
=================统计大于2小于5使用开始==========>>>>>>>>>>>
key = 2 value = 4
key = 3 value = 6
key = 4 value = 12
key = 5 value = 15
key = 6 value = 12
=================统计大于2小于5使用结束==========>>>>>>>>>>>