Java 8&9&10&11 特性总结

旧城等待， 2023-01-06 01:21 221阅读 0赞

2014 发布Java8 ，自Java5依赖最具有革命性的版本  
Java8在语言、编译器、类库、开发工具&JVM带来了大量新特性

# 1 Lambda表达式 #

Lambda是一个匿名函数，可以把Lambda表达式理解为一段可以传递的代码（将code像数据一样传递）  
使用它可以写出更简洁、更灵活的代码。使Java更加紧凑  
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/*
        格式1：无参数，无返回值
        * */
        @Test
        public void test1() {
        
            Runnable r1 = new Runnable() {
        
    
                @Override
                public void run() {
        
                    System.out.println("runnable接口的run方法");
                }
            };
    
            r1.run();
            Runnable r2 = () -> System.out.println("Lambdarun()");
    
            r2.run();
        }
    
        /*
        格式1：无参数，无返回值
        Comsumer<String> con = (String str) -> {System.out.println(str);};
        * */
        @Test
        public void test2(){
        
             Consumer<String> con = new Consumer<String>(){
        
    
                @Override
                public void accept(String s) {
        
                    System.out.println(s);
                }
            };
             con.accept("谎言和饰演的区别是什么？");
    
            System.out.println("****************");
            Consumer<String> con1 = (String s) ->{
        
                System.out.println(s);
            };
            con1.accept("一个是听的人当真了，一个是说的人当真了");
        }
    
    
        /*
        * 格式三：数据类型可以省略，应为可由编译器推断得出，称为 “类型推断”
        * Consumer<String> con = (str) -> {System.out.println(str);};
        * */
        @Test
        public void test3(){
        
            Consumer<String> con1 = (s) ->{
        
                System.out.println(s);
            };
            con1.accept("一个是听的人当真了，一个是说的人当真了");
        }

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/*
        * 格式四：Lambda若只需要一个参数时，参数的小括号可以省略
        * Concumer<String>con = str -> {System.out.println(str);};
        * */
        @Test
        public void test4(){
        
            Consumer<String> con1 = s ->{
        
                System.out.println(s);
            };
            con1.accept("一个是听的人当真了，一个是说的人当真了");
        }
    
    
        /*
         * 格式四：Lambda需要两个或以上参数，多条执行语句，并且可以有返回值
         * ConParator<Interger> com = (x,y) -> {
         *      System.out.println("实现函数式接口方法")
         *      return Integer.compare(x,y);
         * }
         * */
        @Test
        public void test5(){
        
    
            Comparator<Integer> com1 = new Comparator<Integer>() {
        
                @Override
                public int compare(Integer o1, Integer o2) {
        
                    return o1.compareTo(o2);
                }
            };
    
    
            Comparator<Integer> com2 = (o1, o2) -> {
        return o1.compareTo(o2);};
            System.out.println(com2.compare(2, 3));
        }
    
    
        /*
        * 格式六：当Lambda体只有一条语句时，return与{} 都可以省略
        * Comparator<Interger> com = (x,y) -> Interger.compare(x,y);
        * */
        @Test
        public void test6(){
        
            Comparator<Integer> com6 = (o1,o2) -> o1.compareTo(o2);
    
            System.out.println(com6.compare(2, 3));
        }

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# 2 函数式(Functional)接口 #

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*  Java从诞生日起就是一直倡导“一切皆对象”，在Java里面面向对象(OOP)  
    编程是一切。但是随着python、scala等语言的兴起和新技术的挑战，Java不  
    得不做出调整以便支持更加广泛的技术要求，也即java不但可以支持OOP还  
    可以支持OOF（面向函数编程）
 *  在函数式编程语言当中，函数被当做一等公民对待。在将函数作为一等公民的  
    编程语言中，Lambda表达式的类型是函数。但是在Java8中，有所不同。在  
    Java8中，Lambda表达式是对象，而不是函数，它们必须依附于一类特别的  
    对象类型——函数式接口。
 *  简单的说，在Java8中，Lambda表达式就是一个函数式接口的实例。这就是  
    Lambda表达式和函数式接口的关系。也就是说，只要一个对象是函数式接口  
    的实例，那么该对象就可以用Lambda表达式来表示。
 *  所以以前用匿名实现类表示的现在都可以用Lambda表达式来写。

**函数式接口举例**  
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**自定义函数式接口**  
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**Java内置四大核心函数式接口**

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**其他接口**

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# 3 方法引用&构造器引用 #

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# 4 强大的Stream API #

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## 4.1 Stream创建方式 ##

public class StreamAPITest {
        
    
        //TODO 1 创建Stream方式一：通过集合
        @Test
        public void test1(){
        
            List<Employee> employees = EmployeeData.getEmployees();
    
            //todo 1.1 default Stream():返回一个顺序流
            Stream<Employee> stream = employees.stream();
    
            //todo 1.2 default Stream parallelStream():返回一个并行流
            Stream<Employee> employeeStream = employees.parallelStream();
        }
    
        //TODO 2 创建Stream方式二：通过数组
        @Test
        public void test2(){
        
            int[] arr = {
        1, 2, 3, 4, 5};
            //static <T> Stream<T> stream(T[] array): 返回一个流
            IntStream stream = Arrays.stream(arr);
    
            Employee e1 = new Employee(1001, "Tom");
            Employee e2 = new Employee(1002, "Jerry");
            Employee[] employees = {
        e1, e2};
            Stream<Employee> stream1 = Arrays.stream(employees);
        }
    
        //TODO 方式3：通过Stream的of()
        @Test
        public void test3(){
        
            Stream<Integer> stream = Stream.of(1, 2, 3, 4, 5, 6);
        }
    
    
        //方式4：创建无限流
        @Test
        public void test4(){
        
            // 迭代
            //public static<T> Stream<T> iterate(final T seed, final UnaryOperator<T> f)
            Stream.iterate(0,t -> t+2).limit(10).forEach(System.out::println);
    
            // 生成
            //public static<T> Stream<T> generate(Supplier<T> s)
            Stream.generate(Math::random).limit(10).forEach(System.out::println);
        }

## 4.2 Stream的中间操作 ##

### 4.2.1 筛选与切片 ###

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@Test
        public void test1(){
        
            List<Employee> list = EmployeeData.getEmployees();
            Stream<Employee> stream = list.stream();
            //filter(Predicate p) 接收 Lambda ， 从流中排除某些元素
            stream.filter(e -> e.getSalary() > 7000).forEach(System.out::println);
    
            //limit(long maxSize) 截断流，使其元素不超过给定数量
            stream.limit(3).forEach(System.out::println);
    
            //skip(long n)跳过元素，返回一个扔掉了前 n 个元素的流。若流中元素不足 n 个，则返回一个空流。与 limit(n) 互补
            stream.skip(3).forEach(System.out::println);
    
            //distinct() 筛选，通过流所生成元素的 hashCode() 和 equals() 去除重复元素
            list.add(new Employee(1010,"Jephon",40,23432));
            list.stream().distinct().forEach(System.out::println);

### 4.2.2 映射 ###

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/*
             * map flatmap对比
             * */
            Stream<Stream<Object>> streamStream = list.stream().map(StreamTest1::formStringToStream);
            streamStream.forEach(s -> {
        
                s.forEach(System.out::println);
            });
    
            Stream<Object> objectStream = list.stream().flatMap(StreamTest1::formStringToStream);
            objectStream.forEach(System.out::println);

### 4.2.3 排序 ###

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## 4.3 Stream的终止操作 ##

### 4.3.1 匹配&查找 ###

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### 4.3.2 归纳 ###

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### 4.3.3 收集 ###

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# 5 Optional类 #

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