1、使用map()映射数据
使用map()
一般用来类型转换或者对象映射处理操作,例如,
import java.util.*; import java.util.stream.Collectors; import java.util.stream.Stream; public class Main { public static class Person { int age; Person (int age) { this.age = age; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } } public static void main(String[] args) { List<Person> pList = Arrays.asList(new Person(11),new Person(22), new Person(33), new Person(44), new Person(55)); pList.stream().forEach(o->{ System.out.println("stream() map() before :"+o.getAge()); }); //截取前n个元素 List<Person> list1 = pList.stream() .map(o -> { o.setAge(18); return o; }).collect(Collectors.toList()); list1.stream().forEach(o->{ System.out.println("stream() map() :"+o.getAge()); }); System.exit(0); //success } }
2、使用flatMap()处理数据
map
和flatMap
都可以应用于Stream
,并且它们都返回Stream
。区别在于map操作为每个输入值生成一个输出值,而flatMap
操作为每个输入值生成任意数量的值,如下,
import java.util.*; import java.util.stream.Collectors; import java.util.stream.Stream; public class Main { public static void main(String[] args) { String[] strings = {"cjavapy", "https://www.cjavapy.com"}; List stringList = Arrays.asList(strings).stream(). map(str -> str.split("")). flatMap(str -> Arrays.stream(str)) .collect(Collectors.toList()); stringList.stream().forEach(o->{ System.out.println("stream() flatMap():"+o); }); System.exit(0); //success } }
3、使用reduce()处理数据
Stream.reduce()
则是Stream
的一个聚合方法,可以把一个Stream
的所有元素按照聚合函数成一个结果。如sum、min、max等,示例代码如下,
import java.util.*; import java.util.stream.Collectors; import java.util.stream.Stream; public class Main { public static class Person { int age; Person (int age) { this.age = age; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } } public static void main(String[] args) { List<Person> pList = Arrays.asList(new Person(11),new Person(22), new Person(33), new Person(44), new Person(55)); pList.stream().forEach(o->{ System.out.println("stream() map() before :"+o.getAge()); }); //下面代码reduce()中0代表累加的初始值 //对年龄求和 Integer sum = pList.stream() .map(Person::getAge) .reduce(0, Integer::sum); //求年龄最大值 Integer max = pList.stream() .map(Person::getAge) .reduce(0, Integer::max); //求年龄最小值 Integer min = pList.stream() .map(Person::getAge) .reduce(Integer::min).orElse(0); System.out.println(String.format("stream() sum = %s, max = %s, min = %s", sum , max , min)); System.exit(0); //success } }