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  • Java8 Stream流式编程浅析

    java8自带常用的函数式接口

    • Predicate<T> boolean test(T t) 传入一个参数返回boolean值
    • Consumer<T> 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<T> 把流中元素收集到List
    • toSet Set<T> 把流中元素收集到Set
    • toCollection Coolection<T> 把流中元素收集到Collection中
    • groupingBy Map<K,List<T>> 根据K属性对流进行分组
    • partitioningBy Map<boolean, List<T>> 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();
    }

    原文参考公众号【Java知音】

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  • 原文地址:https://www.cnblogs.com/Kevin-ZhangCG/p/14853665.html
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