java8-04-初识函数式接口
为什么用函数式接口
在函数式编程思想下,允许函数本身作为参数传入另一个函数.使用函数式接口实现"传递行为"的思想.
Lambda表达式也需要函数式接口的支持
什么是函数式接口
总结: 函数式接口 只有一个抽象方法 函数式接口的标识@FunctionalInterface
解释
1.如果一个接口只有一个抽象方法 那么这个接口就是一个函数式接口
2.如果我们在某个接口上声明了@FunctionalInterface注解 那么编译器就会按照函数式接口的定义来要求该接口 不符合报错
3.如果某个接口只有一个抽象方法 但该接口并没有声明@FunctionalInterface注解 编译器仍然会将该接口看作函数式接口
4.如果是函数式接口 该接口也重写了Object类的公共的抽象方法 该重写方法不会增加该接口的抽象方法个数
该接口仍然是函数式接口 不会报错
因为Object类是所有的类的父类 该函数式接口如果有实现类 会直接实现Object类的这个抽象方法
不会实现该函数接口中重写了Object类的抽象方法
也就是说该函数式接口 不会把重写了Object类的公共的抽象方法 看作是抽象方法
该函数式接口的抽象方法仍然是一个 所以符合函数式接口的定义
怎么用函数式接口
自定义一个函数式接口
a.正确的 ![]()
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)
b. 错误的 不符合只有一个抽象方法 ![](data:image/png;base64,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)
c. 正确的 可以有Object公共的抽象方法 (回看解释4) ![]()
![](data:image/png;base64,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)
开始使用函数式接口
1.Test2类中 myTest()方法 将自定义函数式接口 MyInterface 作为参数 调用自定义函数接口中test()方法
2.使用Lambda表达式代替匿名内部类
3.Lambda表达式是对象 使用时 必须 依附于 函数式接口
控制台打印如下
![](https://images.cnblogs.com/OutliningIndicators/ContractedBlock.gif)
1 package com.wf.zhang.java8; 2 3 @FunctionalInterface 4 interface MyInterface { 5 void test(); 6 String toString(); 7 } 8 9 public class Test2{ 10 11 public void myTest(MyInterface myInterface){ 12 System.out.println(1); 13 myInterface.test(); 14 System.out.println(2); 15 } 16 17 18 public static void main(String[] args) { 19 Test2 test2 = new Test2(); 20 21 //1.使用匿名内部类 22 test2.myTest(new MyInterface() { 23 @Override 24 public void test() { 25 System.out.println("使用匿名内部类==mytest"); 26 } 27 }); 28 29 //2.使用Lambda表达式 30 test2.myTest(()->{ 31 System.out.println("使用Lambda表达式--mytest"); 32 }); 33 34 //3.使用Lambda表达式表示myInterface Lambda表达式是一个对象 35 MyInterface myInterface = ()->{ 36 System.out.println("使用Lambda表达式表示myInterface"); 37 }; 38 39 40 System.out.println("myInterface的class---->"+myInterface.getClass()); 41 System.out.println(" myInterface 父类---> "+myInterface.getClass().getSuperclass()); 42 System.out.println(" myInterface的接口-->"+myInterface.getClass().getInterfaces()); 43 System.out.println(" myInterface的长度 "+myInterface.getClass().getInterfaces().length); 44 System.out.println(" myInterface的内容 "+myInterface.getClass().getInterfaces()[0]); 45 } 46 47 }
古人学问无遗力,少壮工夫老始成。
纸上得来终觉浅,绝知此事要躬行。