java8 stream api流式编程

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💛原文地址为https://www.cnblogs.com/haixiang/p/14291626.html,转载请注明出处!

java8自带常用的函数式接口

  • Predicate boolean test(T t) 传入一个参数返回boolean值
  • Consumer void accept(T t) 传入一个参数,无返回值
  • Function<T,R> R apply(T t) 传入一个参数,返回另一个类型

准备数据

    //计算机俱乐部
    private static List<Student> computerClub = Arrays.asList(
            new Student("2015134001", "小明", 15, "1501"),
            new Student("2015134003", "小王", 14, "1503"),
            new Student("2015134006", "小张", 15, "1501"),
            new Student("2015134008", "小梁", 17, "1505")
    );
    //篮球俱乐部
    private static List<Student> basketballClub = Arrays.asList(
            new Student("2015134012", "小c", 13, "1503"),
            new Student("2015134013", "小s", 14, "1503"),
            new Student("2015134015", "小d", 15, "1504"),
            new Student("2015134018", "小y", 16, "1505")
    );
    //乒乓球俱乐部
    private static List<Student> pingpongClub = Arrays.asList(
            new Student("2015134022", "小u", 16, "1502"),
            new Student("2015134021", "小i", 14, "1502"),
            new Student("2015134026", "小m", 17, "1504"),
            new Student("2015134027", "小n", 16, "1504")
    );

    private static List<List<Student>> allClubStu = new ArrayList<>();
    allClubStu.add(computerClub);
    allClubStu.add(basketballClub);
    allClubStu.add(pingpongClub);

常用的stream三种创建方式

  • 集合 Collection.stream()
  • 静态方法 Stream.of
  • 数组 Arrays.stream
        //1.集合
        Stream<Student> stream = basketballClub.stream();
        //2.静态方法
        Stream<String> stream2 = Stream.of("a", "b", "c");
        //3.数组
        String[] arr = {"a","b","c"};
        Stream<String> stream3 = Arrays.stream(arr);

Stream的终止操作

  • foreach(Consumer c) 遍历操作
  • collect(Collector) 将流转化为其他形式
  • max(Comparator) 返回流中最大值
  • min(Comparator) 返回流中最小值
  • count 返回流中元素综述

Collectors 具体方法

  • toList List 把流中元素收集到List
  • toSet Set 把流中元素收集到Set
  • toCollection Coolection 把流中元素收集到Collection中
  • groupingBy Map<K,List> 根据K属性对流进行分组
  • partitioningBy Map<boolean, List> 根据boolean值进行分组
        //此处只是演示 此类需求直接用List构造器即可
        List<Student> collect = computerClub.stream().collect(Collectors.toList());
        Set<Student> collect1 = pingpongClub.stream().collect(Collectors.toSet());
        //注意key必须是唯一的 如果不是唯一的会报错而不是像普通map那样覆盖
        Map<String, String> collect2 = pingpongClub.stream()
                .collect(Collectors.toMap(Student::getIdNum, Student::getName));
        //分组 类似于数据库中的group by
        Map<String, List<Student>> collect3 = pingpongClub.stream()
                .collect(Collectors.groupingBy(Student::getClassNum));
        //字符串拼接 第一个参数是分隔符 第二个参数是前缀 第三个参数是后缀
        String collect4 = pingpongClub.stream().map(Student::getName).collect(Collectors.joining(",", "【", "】"));
				//【小u,小i,小m,小n】
        //三个俱乐部符合年龄要求的按照班级分组
        Map<String, List<Student>> collect5 = Stream.of(basketballClub, pingpongClub, computerClub)
                .flatMap(e -> e.stream().filter(s -> s.getAge() < 17))
                .collect(Collectors.groupingBy(Student::getClassNum));
        //按照是否年龄>16进行分组 key为true和false
        ConcurrentMap<Boolean, List<Student>> collect6 = Stream.of(basketballClub, pingpongClub, computerClub)
                .flatMap(Collection::stream)
                .collect(Collectors.groupingByConcurrent(s -> s.getAge() > 16));

Stream的中间操作

  1. filter(Predicate) 筛选流中某些元素
//筛选1501班的学生
computerClub.stream().filter(e -> e.getClassNum().equals("1501")).forEach(System.out::println);
//筛选年龄大于15的学生
List<Student> collect = computerClub.stream().filter(e -> e.getAge() > 15).collect(Collectors.toList());
  1. map(Function f) 接收流中元素,并且将其映射成为新元素,例如从student对象中取name属性
        //篮球俱乐部所有成员名 + 暂时住上商标^_^,并且获取所有队员名
        List<String> collect1 = basketballClub.stream()
                .map(e -> e.getName() + "^_^")
                .collect(Collectors.toList());
        collect1.forEach(System.out::println);
        //小c^_^^_^
        //小s^_^^_^
        //小d^_^^_^
        //小y^_^^_^
  1. flatMap(Function f) 将所有流中的元素并到一起连接成一个流

        //获取年龄大于15的所有俱乐部成员
        List<Student> collect2 = Stream.of(basketballClub, computerClub, pingpongClub)
                .flatMap(e -> e.stream().filter(s -> s.getAge() > 15))
                .collect(Collectors.toList());
        collect2.forEach(System.out::println);

        //用双层list获取所有年龄大于15的俱乐部成员
        List<Student> collect3 = allClubStu.stream()
                .flatMap(e -> e.stream().filter(s -> s.getAge() > 15))
                .collect(Collectors.toList());
        collect3.forEach(System.out::println);
  1. peek(Consumer c) 获取流中元素,操作流中元素,与foreach不同的是不会截断流,可继续操作流
        //篮球俱乐部所有成员名 + 赞助商商标^_^,并且获取所有队员详细内容
        List<Student> collect = basketballClub.stream()
                .peek(e -> e.setName(e.getName() + "^_^"))
                .collect(Collectors.toList());
        collect.forEach(System.out::println);
        //Student{idNum='2015134012', name='小c^_^', age=13, classNum='1503'}
        //Student{idNum='2015134013', name='小s^_^', age=14, classNum='1503'}
        //Student{idNum='2015134015', name='小d^_^', age=15, classNum='1504'}
        //Student{idNum='2015134018', name='小y^_^', age=16, classNum='1505'}
  1. distinct() 通过流所生成元素的equals和hashCode去重

  2. limit(long val) 截断流,取流中前val个元素

  3. sorted(Comparator) 产生一个新流,按照比较器规则排序

  4. sorted() 产生一个新流,按照自然顺序排序

        List<String> list = Arrays.asList("b","b","c","a");
        list.forEach(System.out::print); //bbca
        List<String> collect = list.stream().distinct().sorted().collect(Collectors.toList());
        collect.forEach(System.out::print);//abc
        //获取list中排序后的top2 即截断取前两个
        List<String> collect1 = list.stream().distinct().sorted().limit(2).collect(Collectors.toList());
        collect1.forEach(System.out::print);//ab

匹配

  1. booelan allMatch(Predicate) 都符合
  2. .boolean anyMatch(Predicate) 任一元素符合
  3. boolean noneMatch(Predicate) 都不符合
        boolean b = basketballClub.stream().allMatch(e -> e.getAge() < 20);
        boolean b1 = basketballClub.stream().anyMatch(e -> e.getAge() < 20);
        boolean b2 = basketballClub.stream().noneMatch(e -> e.getAge() < 20);

寻找元素

  1. findFirst——返回第一个元素
  2. findAny——返回当前流中的任意元素
        Optional<Student> first = basketballClub.stream().findFirst();
        if (first.isPresent()) {
            Student student = first.get();
            System.out.println(student);
        }

        Optional<Student> any = basketballClub.stream().findAny();
        if (any.isPresent()) {
            Student student2 = any.get();
            System.out.println(student2);
        }
        Optional<Student> any1 = basketballClub.stream().parallel().findAny();
        System.out.println(any1);

计数和极值

  1. count——返回流中元素的总个数
  2. max——返回流中最大值
  3. min——返回流中最小值
        long count = basketballClub.stream().count();
        Optional<Student> max = basketballClub.stream().max(Comparator.comparing(Student::getAge));
        if (max.isPresent()) {
            Student student = max.get();
        }
        Optional<Student> min = basketballClub.stream().min(Comparator.comparingInt(Student::getAge));
        if (min.isPresent()) {
            Student student = min.get();
        }
posted @ 2021-01-18 10:48  海向  阅读(5915)  评论(3编辑  收藏  举报