A sequence of elements supporting sequential and parallel aggregate operationsjava
Stream是一组用来处理数组、集合的API
Java8之因此费这么大功夫引入函数式编程,缘由有二:python
(1)代码简洁函数式编程写出的代码简洁且意图明确,使用stream接口让你今后告别for循环
(2)多核友好,java函数式编程使得编写并行程序从未如此简单,你须要的所有就是调用一下parallel()方法
一、不是数据结构,没有内部存储
二、不支持索引访问
三、延迟计算
四、支持并行
五、很容易生成数组或集合(List,Set)
六、支持过滤,查找,转换;汇总,聚合等操做
一、Stream分为 源source,中间操做,终止操做
二、流的源能够是一个数组,一个集合,一个生成器方法,一个I/O通道等等
三、一个流能够有零个或者多个中间操做,每一个中间操做都会返回一个新的流,供下一个操做使用,一个流只会有一个终止操做
四、Stream只有遇到终止操做,它的源才开始执行遍历操做
一、经过数组
二、经过集合
三、经过Stream.generate方法来建立
四、经过Stream.iterate方法来建立
五、其余API建立
package com.msbline.stream; import java.util.ArrayList; import java.util.List; import java.util.stream.IntStream; import java.util.stream.Stream; public class StreamDemo { //经过数组来生成 static void gen1(){ String[] args = {"a","b","c","d"}; Stream<String> stream = Stream.of(args); stream.forEach(System.out::println); } //经过集合来生成 static void gen2(){ List<String> list = new ArrayList<>(); list.add("a"); list.add("b"); list.add("c"); list.add("d"); Stream<String> stream = list.stream(); stream.forEach(System.out::println); } //经过generate生成 static void gen3(){ Stream<Integer> stream = Stream.generate(() ->1); // stream.limit(3); stream.limit(3).forEach(System.out::println); } //使用iterator static void gen4(){ Stream<Integer> stream = Stream.iterate(1, x -> x + 1); stream.limit(10).forEach(System.out::println); } //其余 static void gen5(){ String str = "abcdefg"; IntStream stream = str.chars(); stream.forEach(System.out::println); } public static void main(String[] args) { //生成操做 gen1(); System.out.println("gen2--------------------"); gen2(); System.out.println("gen3--------------------"); gen3(); System.out.println("gen4---------------------"); gen4(); System.out.println("gen5---------------------"); gen5(); } }
(1)过滤filter
(2)去重distinct
(3)排序sorted
(4)截取limit、skip
(5)转换map/flatMap
(6)其余peek
(1)循环forEach
(2)计算min、max、count、average
(3)匹配anyMatch、allMatch、noneMatch、findFirst、findAny
(4)汇聚reduce
(5)收集器toArray collect
public static void main(String[] args) { //中间操做:若是调用方法以后返回的结果是Stream对象就意味着是一个中间操做 Arrays.asList(1,2,3,4,5).stream().filter((x)->x%2==0) .forEach(System.out::println); //求出结果集中全部偶数的和 int count = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9).stream().filter((x) -> x % 2 == 0) .mapToInt(x->x).sum(); System.out.println(count); //求集合中的最大值 List<Integer> list = Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9); Optional<Integer> max = list.stream().max((a, b) -> a - b); System.out.println(max.get()); //求最小值 Optional<Integer> min = list.stream().min((a, b) -> a-b); System.out.println(min.get()); Optional<Integer> any = list.stream().filter(x -> x % 2 == 0).findAny(); System.out.println(any.get()); Optional<Integer> first = list.stream().filter(x -> x % 2 == 0).findFirst(); System.out.println(first.get()); List<Integer> list1 = Arrays.asList(1, 3, 5, 6); Stream<Integer> integerStream = list1.stream().filter(x -> { System.out.println("运行方法"); return x % 2 == 0; }); // System.out.println(integerStream.findFirst().get()); System.out.println(integerStream.findAny().get()); System.out.println("---------------------------------"); //获取最大值和最小值,可是不使用min和max方法 List<Integer> list2 = Arrays.asList(1, 3, 5, 6); Optional<Integer> min1 = list2.stream().sorted().findFirst(); System.out.println(min1.get()); Optional<Integer> max1 = list2.stream().sorted((a, b) -> b - a).findFirst(); System.out.println(max1.get()); Arrays.asList("java","c#","python","scala").stream() .sorted().forEach(System.out::println); System.out.println("----------------------------------"); Arrays.asList("java","c#","python","scala").stream() .sorted((a,b)->a.length()-b.length()).forEach(System.out::println); //想将集合中的元素进行过滤同时返回一个集合 System.out.println("----------------------------------"); List<Integer> list3 = Arrays.asList(1, 2, 3, 4, 5, 6); List<Integer> collect = list3.stream().filter(x -> x % 2 == 0).collect(Collectors.toList()); collect.forEach(System.out::println); System.out.println("-----------------------"); //去重操做 Arrays.asList(1,2,3,3,3,4,5).stream().distinct().forEach(System.out::println); System.out.println("-----------------------"); Arrays.asList(1,2,3,3,3,4,5).stream().collect(Collectors.toSet()).forEach(System.out::println); System.out.println("-----------------------"); //打印20-30这样的集合数据 Stream.iterate(1,x->x+1).limit(50).skip(20).limit(10).forEach(System.out::println); System.out.println("------------------------"); String str = "11,22,33,44,55"; int sum = Stream.of(str.split(",")).mapToInt(x -> Integer.parseInt(x)).sum(); System.out.println(sum); int sum1 = Stream.of(str.split(",")).map(x -> Integer.valueOf(x)).mapToInt(x -> x).sum(); System.out.println(sum1); int sum2 = Stream.of(str.split(",")).mapToInt(Integer::valueOf).sum(); System.out.println(sum2); int sum3 = Stream.of(str.split(",")).map(Integer::valueOf).mapToInt(x -> x).sum(); System.out.println(sum3); System.out.println("-------------"); //建立一组自定义对象 String str2 = "java,scala,python"; Stream.of(str2.split(",")).map(x->new Person(x)).forEach(System.out::println); System.out.println("-------------"); Stream.of(str2.split(",")).map(Person::new).forEach(System.out::println); System.out.println("-------------"); Stream.of(str2.split(",")).map(x->Person.build(x)).forEach(System.out::println); System.out.println("-------------"); Stream.of(str2.split(",")).map(Person::build).forEach(System.out::println); System.out.println("-------------------"); //将每一个值都打印出来,同时算出最终的求和结果 String str1 = "11,22,33,44,55"; int sum4 = Stream.of(str1.split(",")).peek(System.out::println).mapToInt(Integer::valueOf).sum(); System.out.println(sum4); System.out.println(list.stream().allMatch(x -> x == 0)); System.out.println(list.stream().allMatch(x -> x >= 0)); System.out.println(list.stream().anyMatch(x -> x >= 0)); }