Stream API的代码示例.md

一、代码实例:

package com.TestMain;

import com.alibaba.fastjson.JSON;

import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.Stream;

public class TestTest22 {

    public static void main(String args[]) throws Exception {
        List<String> stringList = new ArrayList<>();
        stringList.add("1");
        stringList.add("2");
        stringList.add("3");
        stringList.add("4");
        System.out.println(JSON.toJSONString(stringList));
        Stream<String> stream = stringList.stream();
        System.out.println("stream:"+JSON.toJSONString(stream));
        //全部符合+任一符合+不符合
        boolean a = stringList.stream().allMatch((s) -> Integer.parseInt(s) > 3);
        System.out.println(JSON.toJSONString(a));
        a = stringList.stream().anyMatch((s) -> Integer.parseInt(s) > 3);
        System.out.println(JSON.toJSONString(a));
        a = stringList.stream().noneMatch((s) -> Integer.parseInt(s) > 3);
        System.out.println(JSON.toJSONString(a));
        //将List转换为Set
        Set<String> set= stringList.stream().collect(Collectors.toSet());
        System.out.println(JSON.toJSONString(set));
        //将List转换为Map
        //Map map = stringList.stream().collect(Collectors.toMap(String::new,String::new));
        Map map = stringList.stream().collect(Collectors.toMap((s)->{return "0"+s;},String::new));
        System.out.println(JSON.toJSONString(map));
        //count 和 distinct
        long count = stringList.stream().count();
        String max = stringList.stream().max(String::compareToIgnoreCase).toString();
        String min = stringList.stream().max(String::compareToIgnoreCase).toString();
        System.out.println("count:"+JSON.toJSONString(count));
        System.out.println("max:"+JSON.toJSONString(max));
        System.out.println("min:"+JSON.toJSONString(min));
        stringList.add("4");
        System.out.println("stream:"+JSON.toJSONString(stringList));
        List<String> dis = stringList.stream().distinct().collect(Collectors.toList());
        System.out.println("dis:"+JSON.toJSONString(dis));
        //concat
        List<String> stringList2 = new ArrayList<>();
        stringList2.add("6");
        stringList2.add("7");
        stringList2.add("8");
        stringList2.add("9");
        List<String> concact = Stream.concat(stringList.stream(),stringList2.stream()).collect(Collectors.toList());
        System.out.println("concact:"+JSON.toJSONString(concact));
        //empty
        Stream nullStream = Stream.empty();
        //filter
        List<String> filter = stringList.stream().filter((s)->{return Integer.parseInt(s)>=4;}).collect(Collectors.toList());
        System.out.println("filter:"+JSON.toJSONString(filter));
        //findAny 和 findFirst
        String s1 = stringList.stream().findAny().get();
        System.out.println("s:"+JSON.toJSONString(s1));
        String s2 = stringList.stream().findFirst().get();
        System.out.println("s:"+JSON.toJSONString(s2));
        //	flatMap 不知道怎么用,暂时不写
        //List<String> flatMap = stringList.stream().flatMap().collect(Collectors.toList());
        //	forEach
        stringList.stream().forEach((s) -> System.out.println("forEach: " + s));
        //	limit
        List<String> limit = stringList.stream().limit(2).collect(Collectors.toList());
        System.out.println("limit:"+JSON.toJSONString(limit));
        //map
        List<String> map1 = stringList.stream().map((s)->{return s+s;}).collect(Collectors.toList());
        System.out.println("map1:"+JSON.toJSONString(map1));
        //of
        List<String> list = Stream.of("1","2").collect(Collectors.toList());
        System.out.println("list:"+JSON.toJSONString(list));
        //	peek:感觉功能很重复呀,目前,没发现什么其他用处
        list = stringList.stream().peek((s)->{Integer.parseInt(s);}).collect(Collectors.toList());
        System.out.println("peek:"+JSON.toJSONString(list));
        list = stringList.stream().peek((s)->{System.out.println("peek:"+s);}).collect(Collectors.toList());
        System.out.println("peek:"+JSON.toJSONString(list));
        //	reduce:不知道怎么用,暂时算了
        //这是全部求和的用法:acc表示上一次执行结果,item表示下一个要执行是数据
        Optional accResult = Stream.of(1, 2, 3, 4)
                .reduce((acc, item) -> {
                    System.out.println("acc : " + acc);
                    acc += item;
                    System.out.println("item: " + item);
                    System.out.println("acc+ : " + acc);
                    System.out.println("--------");
                    return acc;
                });
        System.out.println("accResult: " + accResult.get());
        System.out.println("--------");

        //reduce的第二个函数:开始的5表示起始结果。相当于求和时sum的初始值
        int accResult2 = Stream.of(1, 2, 3, 4)
                .reduce(5, (acc, item) -> {
                    System.out.println("acc : " + acc);
                    acc += item;
                    System.out.println("item: " + item);
                    System.out.println("acc+ : " + acc);
                    System.out.println("--------");
                    return acc;
                });
        System.out.println("accResult2: " + accResult2);
        System.out.println("--------");
        //reduce的第二个函数:

        //skip:丢弃第n之前(从1开始,包含n)的元素,得到剩下的数据
        list = stringList.stream().skip(4).collect(Collectors.toList());
        System.out.println("skip:"+JSON.toJSONString(list));
        //sorted 和 toArray:挺基本的功能,就是排序和数组
        list = stringList.stream().sorted(Comparator.reverseOrder()).collect(Collectors.toList());
        System.out.println("sorted:"+JSON.toJSONString(list));
        Object[] array = stringList.stream().toArray();
        System.out.println("array:"+JSON.toJSONString(array));
    }

}

二、输出结果:

com.TestMain.TestTest22
["1","2","3","4"]
stream:{"parallel":false}
false
true
false
["1","2","3","4"]
{"01":"1","02":"2","03":"3","04":"4"}
count:4
max:"Optional[4]"
min:"Optional[4]"
stream:["1","2","3","4","4"]
dis:["1","2","3","4"]
concact:["1","2","3","4","4","6","7","8","9"]
filter:["4","4"]
s:"1"
s:"1"
forEach: 1
forEach: 2
forEach: 3
forEach: 4
forEach: 4
limit:["1","2"]
map1:["11","22","33","44","44"]
list:["1","2"]
peek:["1","2","3","4","4"]
peek:1
peek:2
peek:3
peek:4
peek:4
peek:["1","2","3","4","4"]
acc : 1
item: 2
acc+ : 3
--------
acc : 3
item: 3
acc+ : 6
--------
acc : 6
item: 4
acc+ : 10
--------
accResult: 10
--------
acc : 5
item: 1
acc+ : 6
--------
acc : 6
item: 2
acc+ : 8
--------
acc : 8
item: 3
acc+ : 11
--------
acc : 11
item: 4
acc+ : 15
--------
accResult2: 15
--------
skip:["4"]
sorted:["4","4","3","2","1"]
array:["1","2","3","4","4"]

Process finished with exit code 0

三、参考:

  1. Java 8 Stream API 的使用示例 - clover_toeic - 博客园
    注:很详细的实例,可以参考。
  2. Java 8 系列之 Stream 中万能的 reduce - 行云间 - CSDN 博客
    注:讲reduce讲的最清楚了。
  3. Java 8 中文版 - 在线 API 中文手册 - 码工具
    注:JDK 官方API。可以详细参考。
原文地址:https://www.cnblogs.com/buwuliao/p/11081193.html