import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.Stream;
public class Controller {
private static List<Person> init(){
List<Person> personList = new ArrayList<Person>();
personList.add(new Person("Tom", 8900, 23, "male", "New York"));
personList.add(new Person("Jack", 7000, 25, "male", "Washington"));
personList.add(new Person("Lily", 7800, 21, "female", "Washington"));
personList.add(new Person("Anni", 8200, 24, "female", "New York"));
personList.add(new Person("Owen", 9500, 25, "male", "New York"));
personList.add(new Person("Alisa", 7900, 26, "female", "New York"));
return personList;
}
private static void test1(){
List<Integer> list = Arrays.asList(7, 6, 9, 3, 8, 2, 1);
//遍历输出符合条件的元素
list.stream().filter(x -> x > 6).forEach(System.out::println);
//匹配第一个
Optional<Integer> findFirst = list.stream().filter(x -> x > 6).findFirst();
//匹配任意(适用于并行流)
Optional<Integer> findAny = list.parallelStream().filter(x -> x > 6).findAny();
//是否包含符合特定条件的元素
boolean anyMatch = list.stream().anyMatch(x -> x > 6);
System.out.println("匹配第一个值：" + findFirst.get());
System.out.println("匹配任意一个值：" + findAny.get());
System.out.println("是否存在大于6的值：" + anyMatch);
}
private static void test2(){
//筛选出Integer集合中大于7的元素，并打印出来
List<Integer> list = Arrays.asList(6, 7, 3, 8, 1, 2, 9);
Stream<Integer> stream = list.stream();
stream.filter(x -> x > 7).forEach(System.out::println);
}
private static void test3(){
//筛选员工中工资高于8000的人，并形成新的集合
List<Person> personList = init();
List<String> filterList = personList.stream().filter(x -> x.getSalary() > 8000).map(Person::getName).collect(Collectors.toList());
System.out.println("高于8000的员工姓名: " + filterList);
}
private static void test4(){
//获取String集合中最长的元素。
List<String> list = Arrays.asList("adnm", "admmt", "pot", "xbangd", "weoujgsd");
Optional<String> max = list.stream().max(Comparator.comparing(String::length));
System.out.println("最长的字符串: " + max.get());
}
private static void test5(){
//获取Integer集合中的最大值。
List<Integer> list = Arrays.asList(7, 6, 9, 4, 11, 6);
//自然排序
Optional<Integer> max1 = list.stream().max(Integer::compareTo);
//自定义排序
Optional<Integer> max2 = list.stream().max(new Comparator<Integer>() {
@Override
public int compare(Integer o1, Integer o2) {
return o1.compareTo(o2);
}
});
System.out.println("自然排序的最大值: " + max1.get());
System.out.println("自定义排序的最大值: " + max2.get());
}
private static void test6(){
List<Person> personList = init();
Optional<Person> max = personList.stream().max(Comparator.comparingInt(Person::getSalary));
System.out.println("员工工资最大值：" + max.get().getSalary());
}
private static void test7(){
//计算Integer集合中大于6的元素的个数。
List<Integer> list = Arrays.asList(7, 6, 4, 8, 2, 11, 9);
long count = list.stream().filter(x -> x > 6).count();
System.out.println("list中大于6的元素个数：" + count);
}
private static void test8(){
//英文字符串数组的元素全部改为大写。整数数组每个元素+3。
String[] strArr = { "abcd", "bcdd", "defde", "fTr" };
List<String> strList = Arrays.stream(strArr).map(String::toUpperCase).collect(Collectors.toList());
List<Integer> intList = Arrays.asList(1, 3, 5, 7, 9, 11);
List<Integer> intListNew = intList.stream().map(x -> x + 3).collect(Collectors.toList());
System.out.println("每个元素大写：" + strList);
System.out.println("每个元素+3：" + intListNew);
}
private static void test9(){
//将员工的薪资全部增加1000。
List<Person> personList = init();
//不改变原来员工集合的方式
List<Person> personListNew = personList.stream().map(person -> {
return new Person(person.getName(), person.getSalary() + 1000, person.getAge(), person.getSex(), person.getArea());
}).collect(Collectors.toList());
System.out.println("一次改动前：" + personList.get(0).getName() + "-->" + personList.get(0).getSalary());
System.out.println("一次改动后：" + personListNew.get(0).getName() + "-->" + personListNew.get(0).getSalary());
//改变原来员工集合的方式
List<Person> personListNew2 = personList.stream().map(person -> {
person.setSalary(person.getSalary() + 1000);
return person;
}).collect(Collectors.toList());
System.out.println("二次改动前：" + personList.get(0).getName() + "-->" + personListNew.get(0).getSalary());
System.out.println("二次改动后：" + personListNew2.get(0).getName() + "-->" + personListNew.get(0).getSalary());
}
private static void test10(){
//将两个字符数组合并成一个新的字符数组。
List<String> list = Arrays.asList("m,k,l,a", "1,3,5,7");
List<String> listNew = list.stream().flatMap(s -> {
// 将每个元素转换成一个stream
String[] split = s.split(",");
Stream<String> s2 = Arrays.stream(split);
return s2;
}).collect(Collectors.toList());
System.out.println("处理前的集合：" + list);
System.out.println("处理后的集合：" + listNew);
}
//==============================================归约(reduce)=======================================================================
//归约，也称缩减，顾名思义，是把一个流缩减成一个值，能实现对集合求和、求乘积和求最值操作。
private static void test11(){
// 求Integer集合的元素之和、乘积和最大值。
List<Integer> list = Arrays.asList(1, 3, 2, 8, 11, 4);
// 求和方式1
Optional<Integer> sum = list.stream().reduce((x, y) -> x + y);
// 求和方式2
Optional<Integer> sum2 = list.stream().reduce(Integer::sum);
// 求和方式3
Integer sum3 = list.stream().reduce(0, Integer::sum);
// 求乘积
Optional<Integer> product = list.stream().reduce((x, y) -> x * y);
// 求最大值方式1
Optional<Integer> max = list.stream().reduce((x, y) -> x > y ? x : y);
// 求最大值写法2
Integer max2 = list.stream().reduce(1, Integer::max);
System.out.println("list求和：" + sum.get() + "," + sum2.get() + "," + sum3);
System.out.println("list求积：" + product.get());
System.out.println("list求最大值：" + max.get() + "," + max2);
}
private static void test12(){
// 求所有员工的工资之和和最高工资。
List<Person> personList = init();
// 求工资之和方式1：
Optional<Integer> sumSalary = personList.stream().map(Person::getSalary).reduce(Integer::sum);
// 求工资之和方式2：
Integer sumSalary2 = personList.stream().reduce(0, (sum, p) -> sum += p.getSalary(), (sum1, sum2) -> sum1 + sum2);
// 求工资之和方式3：
Integer sumSalary3 = personList.stream().reduce(0, (sum, p) -> sum += p.getSalary(), Integer::sum);
// 求最高工资方式1：
Integer maxSalary = personList.stream().reduce(0, (max, p) -> max > p.getSalary() ? max : p.getSalary(), Integer::max);
// 求最高工资方式2：
Integer maxSalary2 = personList.stream().reduce(0, (max, p) -> max > p.getSalary() ? max : p.getSalary(), (max1, max2) -> max1 > max2 ? max1 : max2);
System.out.println("工资之和：" + sumSalary.get() + "," + sumSalary2 + "," + sumSalary3);
System.out.println("最高工资：" + maxSalary + "," + maxSalary2);
}
//==============================================收集(collect)=======================================================================
//collect，收集，可以说是内容最繁多、功能最丰富的部分了。从字面上去理解，就是把一个流收集起来，最终可以是收集成一个值也可以收集成一个新的集合。
private static void test13(){
List<Integer> list = Arrays.asList(1, 6, 3, 4, 6, 7, 9, 6, 20);
List<Integer> listNew = list.stream().filter(x -> x % 2 == 0).collect(Collectors.toList());
Set<Integer> set = list.stream().filter(x -> x % 2 == 0).collect(Collectors.toSet());
List<Person> personList = init();
Map<?,Person> map = personList.stream().filter(p -> p.getSalary() > 8000).collect(Collectors.toMap(Person::getName,p -> p));
System.out.println("toList:" + listNew);
System.out.println("toSet:" + set);
System.out.println("toMap:" + map);
}
private static void test14(){
//统计员工人数、平均工资、工资总额、最高工资。
List<Person> personList = init();
// 求总数
Long count = personList.stream().collect(Collectors.counting());
// 求平均工资
Double average = personList.stream().collect(Collectors.averagingDouble(Person::getSalary));
// 求最高工资
Optional<Integer> max = personList.stream().map(Person::getSalary).collect(Collectors.maxBy(Integer::compare));
// 求工资之和
Integer sum = personList.stream().collect(Collectors.summingInt(Person::getSalary));
// 一次性统计所有信息
DoubleSummaryStatistics collect = personList.stream().collect(Collectors.summarizingDouble(Person::getSalary));
System.out.println("员工总数：" + count);
System.out.println("员工平均工资：" + average);
System.out.println("员工最高工资：" + max.get());
System.out.println("员工工资总和：" + sum);
System.out.println("员工工资所有统计：" + collect);
}
// 分区：将 stream 按条件分为两个 Map ，比如员工按薪资是否高于8000分为两部分。
// 分组：将集合分为多个Map，比如员工按性别分组。有单级分组和多级分组。
private static void test15(){
//将员工按薪资是否高于8000分为两部分；将员工按性别和地区分组
List<Person> personList = init();
// 将员工按薪资是否高于8000分组
Map<Boolean, List<Person>> part = personList.stream().collect(Collectors.partitioningBy(x -> x.getSalary() > 8000));
// 将员工按性别分组
Map<String, List<Person>> group = personList.stream().collect(Collectors.groupingBy(Person::getSex));
// 将员工先按性别分组，再按地区分组
Map<String, Map<String, List<Person>>> group2 = personList.stream().collect(Collectors.groupingBy(Person::getSex, Collectors.groupingBy(Person::getArea)));
System.out.println("员工按薪资是否大于8000分组情况：" + part);
System.out.println("员工按性别分组情况：" + group);
System.out.println("员工按性别、地区：" + group2);
}
// joining可以将stream中的元素用特定的连接符（没有的话，则直接连接）连接成一个字符串。
private static void test16(){
//将员工按薪资是否高于8000分为两部分；将员工按性别和地区分组
List<Person> personList = init();
String names = personList.stream().map(p -> p.getName()).collect(Collectors.joining(","));
System.out.println("所有员工的姓名: "+names);
List<String> list = Arrays.asList("A", "B", "C");
String string = list.stream().collect(Collectors.joining("-"));
System.out.println("拼接后的字符串: "+string);
}
// Collectors类提供的reducing方法，相比于stream本身的reduce方法，增加了对自定义归约的支持。
private static void test17(){
//将员工按薪资是否高于8000分为两部分；将员工按性别和地区分组
List<Person> personList = init();
// 每个员工减去起征点后的薪资之和（这个例子并不严谨，但一时没想到好的例子）
Integer sum = personList.stream().collect(Collectors.reducing(0, Person::getSalary, (i, j) -> (i + j - 5000)));
System.out.println("员工扣税薪资总和：" + sum);
// stream的reduce
Optional<Integer> sum2 = personList.stream().map(Person::getSalary).reduce(Integer::sum);
System.out.println("员工薪资总和：" + sum2.get());
}
// sorted，中间操作。有两种排序：
// sorted()：自然排序，流中元素需实现Comparable接口
// sorted(Comparator com)：Comparator排序器自定义排序
private static void test18(){
//将员工按工资由高到低（工资一样则按年龄由大到小）排序
List<Person> personList = init();
// 按工资升序排序（自然排序）
List<String> newList = personList.stream().sorted(Comparator.comparing(Person::getSalary)).map(Person::getName).collect(Collectors.toList());
// 按工资倒序排序
List<String> newList2 = personList.stream().sorted(Comparator.comparing(Person::getSalary).reversed()).map(Person::getName).collect(Collectors.toList());
// 先按工资再按年龄升序排序
List<String> newList3 = personList.stream().sorted(Comparator.comparing(Person::getSalary).thenComparing(Person::getAge)).map(Person::getName).collect(Collectors.toList());
// 先按工资再按年龄自定义排序（降序）
List<String> newList4 = personList.stream().sorted((p1, p2) -> {
if (p1.getSalary() == p2.getSalary()) {
return p2.getAge() - p1.getAge();
} else {
return p2.getSalary() - p1.getSalary();
}
}).map(Person::getName).collect(Collectors.toList());
System.out.println("按工资升序排序：" + newList);
System.out.println("按工资降序排序：" + newList2);
System.out.println("先按工资再按年龄升序排序：" + newList3);
System.out.println("先按工资再按年龄自定义降序排序：" + newList4);
}
private static void test19(){
String[] arr1 = { "a", "b", "c", "d" };
String[] arr2 = { "d", "e", "f", "g" };
Stream<String> stream1 = Stream.of(arr1);
Stream<String> stream2 = Stream.of(arr2);
// concat:合并两个流 distinct：去重
List<String> newList = Stream.concat(stream1, stream2).distinct().collect(Collectors.toList());
// limit：限制从流中获得前n个数据
List<Integer> collect = Stream.iterate(1, x -> x + 2).limit(10).collect(Collectors.toList());
// skip：跳过前n个数据
List<Integer> collect2 = Stream.iterate(1, x -> x + 2).skip(1).limit(5).collect(Collectors.toList());
System.out.println("流合并：" + newList);
System.out.println("limit：" + collect);
System.out.println("skip：" + collect2);
}
public static void main(String[] args) {
test1();
test2();
test3();
test4();
test5();
test6();
test7();
test8();
test9();
test10();
test11();
test12();
test13();
test14();
test15();
test16();
test17();
test18();
test19();
}
static class Person {
private String name; // 姓名
private int salary; // 薪资
private int age; // 年龄
private String sex; //性别
private String area; // 地区
// 构造方法
public Person(String name, int salary, int age,String sex,String area) {
this.name = name;
this.salary = salary;
this.age = age;
this.sex = sex;
this.area = area;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public int getSalary() {
return salary;
}
public void setSalary(int salary) {
this.salary = salary;
}
public int getAge() {
return age;
}
public void setAge(int age) {
this.age = age;
}
public String getSex() {
return sex;
}
public void setSex(String sex) {
this.sex = sex;
}
public String getArea() {
return area;
}
public void setArea(String area) {
this.area = area;
}
}
}
