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java8自帶常用的函數式接口
- Predicate
boolean test(T t) 傳入一個參數返回boolean值 - Consumer
void accept(T t) 傳入一個參數,無返回值 - Function<T,R> R apply(T t) 傳入一個參數,返回另一個類型
准備數據
//計算機俱樂部
private static List<Student> computerClub = Arrays.asList(
new Student("2015134001", "小明", 15, "1501"),
new Student("2015134003", "小王", 14, "1503"),
new Student("2015134006", "小張", 15, "1501"),
new Student("2015134008", "小梁", 17, "1505")
);
//籃球俱樂部
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")
);
//乒乓球俱樂部
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三種創建方式
- 集合 Collection.stream()
- 靜態方法 Stream.of
- 數組 Arrays.stream
//1.集合
Stream<Student> stream = basketballClub.stream();
//2.靜態方法
Stream<String> stream2 = Stream.of("a", "b", "c");
//3.數組
String[] arr = {"a","b","c"};
Stream<String> stream3 = Arrays.stream(arr);
Stream的終止操作
- foreach(Consumer c) 遍歷操作
- collect(Collector) 將流轉化為其他形式
- max(Comparator) 返回流中最大值
- min(Comparator) 返回流中最小值
- count 返回流中元素綜述
Collectors 具體方法
- 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
> 根據K屬性對流進行分組 - partitioningBy Map<boolean, List
> 根據boolean值進行分組
//此處只是演示 此類需求直接用List構造器即可
List<Student> collect = computerClub.stream().collect(Collectors.toList());
Set<Student> collect1 = pingpongClub.stream().collect(Collectors.toSet());
//注意key必須是唯一的 如果不是唯一的會報錯而不是像普通map那樣覆蓋
Map<String, String> collect2 = pingpongClub.stream()
.collect(Collectors.toMap(Student::getIdNum, Student::getName));
//分組 類似於數據庫中的group by
Map<String, List<Student>> collect3 = pingpongClub.stream()
.collect(Collectors.groupingBy(Student::getClassNum));
//字符串拼接 第一個參數是分隔符 第二個參數是前綴 第三個參數是后綴
String collect4 = pingpongClub.stream().map(Student::getName).collect(Collectors.joining(",", "【", "】"));
//【小u,小i,小m,小n】
//三個俱樂部符合年齡要求的按照班級分組
Map<String, List<Student>> collect5 = Stream.of(basketballClub, pingpongClub, computerClub)
.flatMap(e -> e.stream().filter(s -> s.getAge() < 17))
.collect(Collectors.groupingBy(Student::getClassNum));
//按照是否年齡>16進行分組 key為true和false
ConcurrentMap<Boolean, List<Student>> collect6 = Stream.of(basketballClub, pingpongClub, computerClub)
.flatMap(Collection::stream)
.collect(Collectors.groupingByConcurrent(s -> s.getAge() > 16));
Stream的中間操作
- filter(Predicate) 篩選流中某些元素
//篩選1501班的學生
computerClub.stream().filter(e -> e.getClassNum().equals("1501")).forEach(System.out::println);
//篩選年齡大於15的學生
List<Student> collect = computerClub.stream().filter(e -> e.getAge() > 15).collect(Collectors.toList());
- map(Function f) 接收流中元素,並且將其映射成為新元素,例如從student對象中取name屬性
//籃球俱樂部所有成員名 + 暫時住上商標^_^,並且獲取所有隊員名
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^_^^_^
- flatMap(Function f) 將所有流中的元素並到一起連接成一個流
//獲取年齡大於15的所有俱樂部成員
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);
//用雙層list獲取所有年齡大於15的俱樂部成員
List<Student> collect3 = allClubStu.stream()
.flatMap(e -> e.stream().filter(s -> s.getAge() > 15))
.collect(Collectors.toList());
collect3.forEach(System.out::println);
- peek(Consumer c) 獲取流中元素,操作流中元素,與foreach不同的是不會截斷流,可繼續操作流
//籃球俱樂部所有成員名 + 贊助商商標^_^,並且獲取所有隊員詳細內容
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'}
-
distinct() 通過流所生成元素的equals和hashCode去重
-
limit(long val) 截斷流,取流中前val個元素
-
sorted(Comparator) 產生一個新流,按照比較器規則排序
-
sorted() 產生一個新流,按照自然順序排序
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
//獲取list中排序后的top2 即截斷取前兩個
List<String> collect1 = list.stream().distinct().sorted().limit(2).collect(Collectors.toList());
collect1.forEach(System.out::print);//ab
匹配
- booelan allMatch(Predicate) 都符合
- .boolean anyMatch(Predicate) 任一元素符合
- 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);
尋找元素
- findFirst——返回第一個元素
- findAny——返回當前流中的任意元素
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);
計數和極值
- count——返回流中元素的總個數
- max——返回流中最大值
- 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();
}