廖雪峰Java16函数式编程-2Stream-7其他操作

1. 排序

Stream<T> sorted(); //按元素默认大小排序（必须实现Comparable接口）
Stream<T> sorted(Comparator<? super T> cp); //按指定Comparator比较的结果排序

    public static void main(String[] args){
        Stream<String> s = Stream.of("hello","JAVA","python","RUBY","PHP");
        s.sorted().forEach(str-> System.out.print(str+"	"));
        System.out.println();
        Stream<Integer> s1 = Stream.of(1,9,5,3,7);
        s1.sorted(Comparator.reverseOrder()).forEach(str-> System.out.print(str+"	")); 
    }

## 2.去除重复元素 Stream distinct(); //返回去除重复元素的Stream ```#java Stream s = Stream.of("hello","JAVA","hello","RUBY","JAVA"); s.distinct().forEach(str-> System.out.print(str+" ")); ```

3. 截取

Stream<T> limit(long); //截取Stream前long个元素
Stream<T> skip(long); //跳过Stream前long个元素

        Stream<String> s = Stream.of("hello","JAVA","hello","RUBY","JAVA");
        s.limit(3).forEach(str-> System.out.print(str+"	"));
        System.out.println();
        Stream<Integer> s1 = Stream.of(1,9,5,3,7);
        s1.skip(3).forEach(str-> System.out.print(str+"	"));

4. concat合并

        Stream<String> s1 = Stream.of("php","JAVA","python");
        Stream<String> s2 = Stream.of("android", "ios");
        Stream<String> s = Stream.concat(s1,s2);
        s.forEach(str-> System.out.print(str+"	"));

## 5. flatMap把列表的元素取出，构成一个新的Stream 把元素映射为Stream，然后合并成一个新的Stream

        List<String> s1 = new ArrayList<>();
        s1.add( "php");
        s1.add("JAVA");
        s1.add("python");
        List<String> s2 = Arrays.asList("android", "ios");
        Stream<List> l = Stream.of(s1,s2);
        Stream<String> s = l.flatMap(list -> list.stream());
        s.forEach(str-> System.out.print(str+"	"));

6. parallel把一个Stream转换为可以并行处理的Stream

Stream的元素是串行处理的，也就是只能用单线程来处理，如果要提高效率，比如进行并行排序，只需使用parallel()就可以把一个Stream变成一个并行处理的Stream，通过这个方法调用，后续的操作会尽量的并行处理。

        Stream<String> s = Stream.of("php","JAVA","python","android", "ios");
        String[] result = s.parallel() //变成一个可以并行处理的Stream
            .sorted(). //可以进行并行排序
            toArray(String[]::new); 
        System.out.println(Arrays.toString(result));

## 7. Stream的聚合方法 Optional reduce(BinaryOperater bo) long count() T max(Comparator cp)//查找最大元素 T min(Comparator cp) //查找最下元素 针对IntStream, longStream, DoubleStream: ```#java sum() //求和 average() //求平均值 ``` ```#java Integer[] nums = {1,2,3,4,5,6}; long max = Stream.of(nums).max((i1,i2)->i1.compareTo(i2)).get(); long min = Stream.of(nums).min((i1,i2)->i1.compareTo(i2)).get(); System.out.println("最大值："+max+" 最小值："+min); IntStream ins1 = IntStream.builder().add(1).add(2).add(3).add(4).add(5).add(6).build(); IntStream ins2 = IntStream.builder().add(1).add(2).add(3).add(4).add(5).add(6).build(); Double avg = ins1.average().getAsDouble(); long sum = ins2.sum(); System.out.println("求和："+sum+" 平均值："+avg); ``` ## 8. 测试Stream的元素是否满足 boolean allMatch(Predicate) //所有元素均满足测试条件 boolean anyMatch(Predicate) //至少一个元素满足测试条件 ```#java Integer[] nums = {1,2,3,4,5,6}; boolean max = Stream.of(nums).allMatch(x->x>0); boolean min = Stream.of(nums).anyMatch(x->x>5); System.out.println("元素全部>0："+max+" 存在元素>5："+min); ``` ## 9. forEach循环处理Stream的元素 void forEach(Consumer action) ## 10. 把Stream转换为其他类型 Object[] toArray() //转换为Object数组 A[] toArray(IntFunction) //转换为A[]数组 R collect(Collector Collector) //转换为List/Set等集合类型 ```#java Stream s1 = Stream.of("php","JAVA","python","android", "ios"); String[] arr = s1.toArray(String[]::new); Stream s2 = Stream.of("php","JAVA","python","android", "ios"); List list = s2.collect(Collectors.toList()); System.out.println(Arrays.toString(arr)); System.out.println(list.toString()); ``` ## 11. 总结 java.util.stream.Stream题哦那个了许多实用的功能 * 转换操作：map，filter，sorted，distinct * 合并操作：concat，flatMap * 并行处理：parallel * 聚合操作：reduce，count，max，min，sum，average * 其他操作：allMatch，anyMatch，forEach 参考 [https://blog.csdn.net/qq_28410283/article/details/80783505](https://blog.csdn.net/qq_28410283/article/details/80783505) [https://www.cnblogs.com/a-du/p/8289537.html](https://www.cnblogs.com/a-du/p/8289537.html)