为什么用 Lambda表达式
在java8之前 java语言 方法调用 无法将函数作为一个参数 也无法声明返回一个函数
对比 javaScript是典型函数式语言
总结: Lambda 允许把函数作为一个方法的参数(函数作为参数传递进方法中) lambda 表达式使代码简洁紧凑。
引出------->函数式编程
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" 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函数式编程--->强调行为
它允许我们将一个函数当作方法的参数(传递函数)---------->(原来传递参数就是具体的数据)
什么是 Lambda表达式
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Lambda 表达式是一个匿名函数 也可称为闭包 用来表示匿名内部类(函数内部类的函数)
它是推动 Java 8 发布的最重要新特性。
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" 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怎么用 Lambda表达式
Lambda基本结构
()->{方法体} //参数类型可省略 上下文可推断出来
(参数类型1 参数1, 参数类型2 参数2) ->{方法体}
也可简化为 参数1 -> {方法体}
1遍历中使用
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" alt="" />
public class TestLambda {
public static void main(String[] args) {
List<Integer> list = Arrays.asList(1, 3, 6, 9);
for (int i = 0; i < list.size(); i++) {
System.out.println(list.get(i));
}
System.out.println("-------传统遍历-------");
for (Integer i : list) {
System.out.println(i);
}
System.out.println("使用Lambda表达式遍历");
list.forEach(i -> {
System.out.println(i);
});
}
}
2.线程中使用
package com.wf.zhang.java8.lamdba;
public class TestLambda2 {
public static void main(String[] args) {
Runnable runnable = new Runnable() {
@Override
public void run() {
System.out.println("调用run方法");
}
};
Runnable runnable2 = () -> System.out.println("Lambda表达式调用run方法");
}
}
- 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 ...
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