利用java8的stream函数式编程进行处理
1.实现字母分离
map将整个字符串当成一个单词流来处理
Map<String[], Long> collect14 = Stream.of("hello word how are you")
.map(o -> o.split(""))
// .flatMap(Arrays::stream)
.collect(Collectors.groupingBy(o -> o, Collectors.counting()));
System.out.println(JSONObject.toJSONString(collect14));
输出：{["h","e","l","l","o"," ","w","o","r","d"," ","h","o","w"," ","a","r","e"," ","y","o","u"]:1}
2.实现字符串中字母重复频率统计，利用flatMap对流进行扁平化处理(flatMap与map的不同见java8 stream编程第6点图解)
Map<String, Long> collect14 = Stream.of("hello word how are you")
.map(o -> o.split(""))
.flatMap(Arrays::stream)//将前面得到的带大括号的单词流转为字符流
.collect(Collectors.groupingBy(o -> o, Collectors.counting()));
System.out.println(JSONObject.toJSONString(collect14));
输出：{" ":4,"a":1,"r":2,"d":1,"u":1,"e":2,"w":2,"h":2,"y":1,"l":2,"o":4}
3.将map的entry转为stream，对map中的kv进行过滤
String collect14 = Stream.of("hello word how are you")
.map(o -> o.split(""))
.flatMap(Arrays::stream)
.collect(Collectors.groupingBy(o -> o, Collectors.counting()))
.entrySet()
.stream()
.filter(o -> o.getValue() == 2)
.limit(1)
.map(o -> o.getKey())
.collect(Collectors.joining());
System.out.println(collect14);
输出：r