JDK8 Stream详解

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JDK8 Stream详解

JDK8 Stream详解

JDK8 Stream详解

概念

Stream是Java8 API的新成员,它允许以声明性方式处理数据集合 。

特点

(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接口让你从此告别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,你需要的全部就是调用一下方法。

流程

1)第一步:把集合转换为流stream
2)第二步:操作stream流
stream流在管道中经过中间操作(intermediate operation)的处理,最后由最终操作(terminal operation)得到前面处理的结果

操作符

两种:中间操作符、终止操作符

中间操作符

流方法含义示例
filter用于通过设置的条件过滤出元素List strings = Arrays.asList(“abc”, “”, “bc”, “efg”, “abcd”,“”, “jkl”);List filtered = strings.stream().filter(string -> !string.isEmpty()).List());
distinct返回一个元素各异(根据流所生成元素的hashCode和equals方法实现)的流。List numbers = Arrays.asList(1, 2, 1, 3, 3, 2, 4);numbers.stream().filter(i -> i % 2 == 0).distinct().forEach(System.out::println);
limit会返回一个不超过给定长度的流。List strings = Arrays.asList(“abc”, “abc”, “bc”, “efg”, “abcd”,“jkl”, “jkl”);List limited = strings.stream().limit(3).List());
skip返回一个扔掉了前n个元素的流。List strings = Arrays.asList(“abc”, “abc”, “bc”, “efg”, “abcd”,“jkl”, “jkl”);List skiped = strings.stream().skip(3).List());
map接受一个函数作为参数。这个函数会被应用到每个元素上,并将其映射成一个新的元素(使用映射一词,是因为它和转换类似,但其中的细微差别在于它是“创建一个新版本”而不是去“修改”)。List strings = Arrays.asList(“abc”, “abc”, “bc”, “efg”, “abcd”,“jkl”, “jkl”);List mapped = strings.stream().map(str->str+“-itcast”).List());
flatMap使用flatMap方法的效果是,各个数组并不是分别映射成一个流,而是映射成流的内容。所有使用map(Arrays::stream)时生成的单个流都被合并起来,即扁平化为一个流。List strings = Arrays.asList(“abc”, “abc”, “bc”, “efg”, “abcd”,“jkl”, “jkl”);Stream flatMap = strings.stream().flatMap(Java8StreamTest::getCharacterByString);
sorted返回排序后的流List strings1 = Arrays.asList(“abc”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);List sorted1 = strings1.stream().sorted().List());

示例代码:

1)filter

/*** 功能描述:根据条件过滤集合数据* @return : void*/
@Test
public void filter(){List<String> strings = Arrays.asList("abc", "", "bc", "efg", "abcd","", "jkl");List<String> filtered = strings.stream().filter(string -> !string.isEmpty()).List());out.println(filtered);
}

2)distinct

/*** 功能描述:去除集合中重复数据* @return : void*/
@Test
public void distinct(){List<String> strings = Arrays.asList("abc", "abc", "bc", "efg", "abcd","jkl", "jkl");List<String> distincted = strings.stream().distinct().List());out.println(distincted);
}

3)limit

/*** 功能描述:指定获取集合前x条数据,重新构造一个新的集合* @return : void*/
@Test
public void limit(){List<String> strings = Arrays.asList("abc", "abc", "bc", "efg", "abcd","jkl", "jkl");List<String> limited = strings.stream().limit(3).List());out.println(limited);
}

4)skip

/*** 功能描述:排除集合前x条数据,把后面的数据重新构造一个新的集合* @return : void*/
@Testpublic void skip(){List<String> strings = Arrays.asList("abc", "abc", "bc", "efg", "abcd","jkl", "jkl");List<String> skiped = strings.stream().skip(3).List());out.println(skiped);
}

5)map

/*** 功能描述:对集合中所有元素统一处理* @return : void*/
@Test
public void map(){List<String> strings = Arrays.asList("abc", "abc", "bc", "efg", "abcd","jkl", "jkl");List<String> mapped = strings.stream().map(str->str+"-itcast").List());out.println(mapped);
}

6)flatMap

/*** 功能描述:对集合中所有元素统一处理* @return : void*/
@Test
public void flatMap(){List<String> strings = Arrays.asList("abc", "abc", "bc", "efg", "abcd","jkl", "jkl");Stream<String> stringStream = strings.stream().map(x -> x);Stream<String> stringStream1 = strings.stream().flatMap(x -> Arrays.asList(x.split(" ")).stream());
}

7)sorted

/*** 功能描述 : 对集合进行排序* @return : void*/
@Test
public void sorted(){List<String> strings1 = Arrays.asList("abc", "abd", "aba", "efg", "abcd","jkl", "jkl");List<String> strings2 = Arrays.asList("张三", "李四", "王五", "赵柳", "张哥","李哥", "王哥");List<Integer> strings3 = Arrays.asList(10, 2, 30, 22, 1,0, -9);List<String> sorted1 = strings1.stream().sorted().List());List<String> sorted2 = strings2.stream().Instance(Locale.CHINA))).List());List<Integer> sorted3 = strings3.stream().sorted().List());out.println(sorted1);out.println(sorted2);out.println(sorted3);
}

Map、flatMap区别

map:对流中每一个元素进行处理
flatMap:流扁平化,让你把一个流中的“每个值”都换成另一个流,然后把所有的流连接起来成为一个流 
总结:map是对一级元素进行操作,flatmap是对二级元素操作。

本质区别:map返回一个值;flatmap返回一个流,多个值。

应用场景:map对集合中每个元素加工,返回加工后结果;flatmap对集合中每个元素加工后,做扁平化处理后(拆分层级,放到同一层)然后返回

/*** 方法一* 功能描述:  通过使用map、flatMap把字符串转换为字符输出对比区别* @return : void*/
@Test
public void flatMap2Map(){List<String> strings = Arrays.asList("abc", "abc", "bc", "efg", "abcd","jkl", "jkl");final Stream<Character> flatMap = strings.stream().flatMap(Java8StreamTest::getCharacterByString);flatMap.forEach(System.out::println);//----------------------------------------------final Stream<Stream<Character>> mapStream = strings.stream().map(Java8StreamTest::getCharacterByString);//mapStream.forEach(System.out::println);out.println("------------------------------------------------");mapStream.forEach(stream-> {stream.forEach(character->{System.out.println(character);});});}

公共方法(字符串转换为字符流)

/**
* 功能描述:字符串转换为字符流
* @param str
* @return : java.util.stream.Stream<java.lang.Character>
*/
public static Stream<Character> getCharacterByString(String str) {List<Character> characterList = new ArrayList<>();for (Character character : CharArray()) {characterList.add(character);}return characterList.stream();
}

终止操作符

流方法含义示例
anyMatch检查是否至少匹配一个元素,返回boolean。List strings = Arrays.asList(“abc”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);boolean b = strings.stream().anyMatch(s -> s == “abc”);
allMatch检查是否匹配所有元素,返回boolean。List strings = Arrays.asList(“abc”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);boolean b = strings.stream().allMatch(s -> s == “abc”);
noneMatch检查是否没有匹配所有元素,返回boolean。List strings = Arrays.asList(“abc”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);boolean b = strings.stream().noneMatch(s -> s == “abc”);
findAny将返回当前流中的任意元素。List strings = Arrays.asList(“cv”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);Optional any = strings.stream().findAny();
findFirst返回第一个元素List strings = Arrays.asList(“cv”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);Optional first = strings.stream().findFirst();
forEach遍历流List strings = Arrays.asList(“cv”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);strings.stream().forEach(s -> out.println(s));
collect收集器,将流转换为其他形式。List strings = Arrays.asList(“cv”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);Set set = strings.stream().Set());List list = strings.stream().List());Map<String, String> map = strings.stream().Map(v -&at(“_name”), v1 -> v1, (v1, v2) -> v1));
reduce可以将流中元素反复结合起来,得到一个值。List strings = Arrays.asList(“cv”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);Optional reduce = strings.stream().reduce((acc,item) -> {return acc+item;});if(reduce.isPresent())out.());
count返回流中元素总数。List strings = Arrays.asList(“cv”, “abd”, “aba”, “efg”, “abcd”,“jkl”, “jkl”);long count = strings.stream().count();

示例代码

1)anyMatch

/*** 功能描述 : 判断集合中是否至少存在一个元素满足条件* @return : void*/
@Test
public void anyMatch(){List<String> strings = Arrays.asList("abc", "abd", "aba", "efg", "abcd","jkl", "jkl");boolean b = strings.stream().anyMatch(s -> s == "abc");out.println(b);
}

2)allMatch

/*** 功能描述 : 判断集合中是否所有元素都满足条件* @return : void*/
@Test
public void allMatch(){List<String> strings = Arrays.asList("abc", "abd", "aba", "efg", "abcd","jkl", "jkl");boolean b = strings.stream().allMatch(s -> s == "abc");out.println(b);
}

3)noneMatch

/*** 功能描述 : 判断集合中是否所有元素都不满足条件* @return : void*/
@Test
public void noneMatch(){List<String> strings = Arrays.asList("abc", "abd", "aba", "efg", "abcd","jkl", "jkl");boolean b = strings.stream().noneMatch(s -> s == "abc");out.println(b);
}

4)findAny

/*** 功能描述 : 返回当前流中任意元素* @return : void*/
@Test
public void findAny(){List<String> strings = Arrays.asList("cv", "abd", "aba", "efg", "abcd","jkl", "jkl");Optional<String> any = strings.stream().findAny();if(any.isPresent()) out.());
}

5)findFirst

/*** 功能描述 : 返回当前流中第一个元素* @return : void*/
@Test
public void findFirst(){List<String> strings = Arrays.asList("cv", "abd", "aba", "efg", "abcd","jkl", "jkl");Optional<String> first = strings.stream().findFirst();if(first.isPresent()) out.());
}

6)forEach java

/*** 功能描述 : 遍历流* @return : void*/
@Test
public void foreach(){List<String> strings = Arrays.asList("cv", "abd", "aba", "efg", "abcd","jkl", "jkl");strings.stream().forEach(s -> out.println(s));
}

7)collect

/*** 功能描述 : 流转换为其他形式* @return : void*/
@Test
public void collect(){List<String> strings = Arrays.asList("cv", "abd", "aba", "efg", "abcd","jkl", "jkl");Set<String> set = strings.stream().Set());List<String> list = strings.stream().List());Map<String, String> map = strings.stream().Map(v -&at("_name"), v1 -> v1, (v1, v2) -> v1));out.println(set);out.println(list);out.println(map);
}

8)reduce

/*** 功能描述 : 将流中元素反复结合起来,得到一个值* @return : void*/
@Test
public void reduce(){List<String> strings = Arrays.asList("cv", "abd", "aba", "efg", "abcd","jkl", "jkl");//reduce方法一Optional<String> reduce1 = strings.stream().reduce((acc,item) -> {return acc+item;});//reduce方法二String reduce2 = strings.stream().reduce("itcast", (acc, item) -> {return acc + item;});//reduce方法三ArrayList<String> reduce3 = strings.stream().reduce(new ArrayList<String>(),new BiFunction<ArrayList<String>, String, ArrayList<String>>() {@Overridepublic ArrayList<String> apply(ArrayList<String> acc, String item) {acc.add(item);return acc;}}, new BinaryOperator<ArrayList<String>>() {@Overridepublic ArrayList<String> apply(ArrayList<String> acc, ArrayList<String> item) {return acc;}});if(reduce1.isPresent())out.());out.println(reduce2);out.println(reduce3);
}

9)count

/**
* 功能描述 : 返回流中元素总数
* @return : void
*/
@Test
public void count(){List<String> strings = Arrays.asList("cv", "abd", "aba", "efg", "abcd","jkl", "jkl");long count = strings.stream().count();out.println(count);
}

注意:文章中因排序部分用到外部比较器,需要导入外部jar包

<!--apache集合操作工具包-->
<dependency><groupId>org.apachemons</groupId><artifactId>commons-collections4</artifactId><version>4.4</version>
</dependency>

本文发布于:2024-02-04 07:53:36,感谢您对本站的认可!

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