注：List.of()方法需要1.8以上才支持
1.filter，过滤，关键：Predicate
Stream.of(
new Fruit("草莓", "", "1", "red"),
new Fruit("香蕉", "", "2", "yellow"),
new Fruit("苹果", "", "3", "green"),
new Fruit("橘子", "", "4", "orange"),
new Fruit("榴莲", "", "5", "yellow")
).filter(fruit -> fruit.getColor().equals("red"))
.forEach(System.out::println);
2.map,映射，关键：Function
Stream.of(
new Fruit("草莓", "", "1", "red"),
new Fruit("香蕉", "", "2", "yellow"),
new Fruit("苹果", "", "3", "green"),
new Fruit("橘子", "", "4", "orange"),
new Fruit("榴莲", "", "5", "yellow")
).map(Fruit::getColor)
.forEach(System.out::println);
3.flatMap,扁平化（降维）
Stream.of(
List.of(new Fruit("葡萄", "", "1", "red"),
new Fruit("橙子", "", "2", "yellow"),
new Fruit("火龙果", "", "3", "green"),
new Fruit("橘子", "", "4", "orange")),
List.of(new Fruit("香蕉", "", "2", "yellow"),
new Fruit("苹果", "", "3", "green"),
new Fruit("榴莲", "", "5", "yellow"))
).flatMap(list -> list.stream())
.forEach(System.out::println);
Integer[][] arr = {
{1, 2, 3},
{3, 4, 5},
{5, 6, 7},
};
Arrays.stream(arr).flatMap(array -> Arrays.stream(array))
.forEach(System.out::println);
4.构建流
4.1 从集合构建
集合.stream()
4.2 从数组构建
Arrays.stream(数组)
4.3 从对象构建
Stream.of(对象)
//从集合构建
Arrays.stream(arr).flatMap(array -> Arrays.stream(array))
.forEach(System.out::println);
ArrayList<String> list = new ArrayList<>();
HashSet<String> set = new HashSet<>();
HashMap<String, String> map = new HashMap<>();
list.stream().forEach(System.out::println);
set.stream().forEach(System.out::println);
map.entrySet().stream().forEach(System.out::println);
//从数组构建
int[] array = {1, 2, 3, 4, 5, 6, 7, 8};
Arrays.stream(array).forEach(System.out::println);
//从对象构建
Stream.of(1, 2, 3, 4, 5).forEach(System.out::println);
合并和截取
//合并
Stream<Integer> integerStream1 = Stream.of(1, 2, 3);
Stream<Integer> integerStream2 = Stream.of(4, 5, 6);
Stream<Integer> concat = Stream.concat(integerStream1, integerStream2);
concat.forEach(System.out::println);
//截取
//skip(long n) 跳过n个数据，保留剩下的
//limit(long n) 保留n个数据，剩下的不要
concat.skip(2).forEach(System.out::println);
concat.limit(2).forEach(System.out::println);
concat.skip(2).limit(2).forEach(System.out::println);
//截取根据条件确定截取位置
//takeWhile(Predicate p) 条件成立保留，一旦条件不成立，剩下的不要
//dropWhile(Predicate p) 条件成立舍弃，一旦条件不成立，剩下的保留
//concat.takeWhile(x->x<3).forEach(System.out::println);
//concat.dropWhile(x->x<3).forEach(System.out::println);
生成流，不用现有数据生成stream对象
//生成流，不用现有数据生成stream对象
//1 简单生成
//IntStream.range(...)
IntStream.range(1, 10).forEach(System.out::println);
IntStream.rangeClosed(1, 9).forEach(System.out::println);
//2 依赖上一个值生成当前值
//IntStream.iterate(...) 1,3,5,7,9
IntStream.iterate(1, x -> x + 2).limit(10).forEach(System.out::println);
//3 不依赖上一个值生成当前值
//IntStream.generate(...)
IntStream.generate(() -> ThreadLocalRandom.current().nextInt(100)).limit(5).forEach(System.out::println);
//生成随机整数
ThreadLocalRandom.current().ints(5, 0, 100).forEach(System.out::println);
查找与判断
//查找与判断
//查找
//filter(Predicate p).findAny() 找到任意一个元素
//filter(Predicate p).findFirst() 找到第一个元素
//判断
//1 anyMatch(Predicate p) 一个满足
//2 allMatch(Predicate p) 都满足
//3 noneMatch(Predicate p) 都不满足
IntStream intStream = IntStream.of(1, 2, 3, 4, 5, 6, 7);
System.out.println(intStream.filter(x -> (x & 1) == 0).findFirst().orElse(-1));
System.out.println(intStream.filter(x -> (x & 1) == 0).findAny().orElse(-1));
System.out.println(intStream.anyMatch(x -> (x & 1) == 0));
System.out.println(intStream.allMatch(x -> (x & 1) == 0));
System.out.println(intStream.noneMatch(x -> (x & 1) == 0));
去重排序
//去重
IntStream.of(1, 2, 3, 1, 2, 4, 5, 6, 7, 1, 2)
.distinct()
.forEach(System.out::println);
//排序
Stream.of(
new Hero("张三", 90),
new Hero("李四", 98),
new Hero("王老五", 93),
new Hero("令狐冲", 95),
new Hero("东方不败", 99),
new Hero("风清扬", 88),
new Hero("独孤求败", 82),
new Hero("任我行", 99)
// ).sorted((a, b) -> a.getStrength() < b.getStrength() ? -1 : a.getStrength() == b.getStrength() ? 0 : 1)
// ).sorted((a, b) -> Integer.compare(a.getStrength(), b.getStrength()))
// ).sorted(Comparator.comparingInt(x-> x.getStrength())
// ).sorted(Comparator.comparingInt(Hero::getStrength))
).sorted(Comparator.comparingInt(Hero::getStrength).reversed().thenComparing(x -> x.getName().length()))
.forEach(System.out::println);
}
化简，两两合并，只剩一个
适合，最大值，最小值，求和，求个数
//化简，两两合并，只剩一个
//适合，最大值，最小值，求和，求个数
//reduce((p, x)->r)) p上次的合并结果，x当前元素，r本次合并结果
//reduce(init,(p, x)->r))
//reduce(init,(p, x)->r),(r1,r2)->r)
Stream<Hero> heroStream = Stream.of(
new Hero("张三", 90),
new Hero("李四", 98),
new Hero("王老五", 93),
new Hero("令狐冲", 95),
new Hero("东方不败", 99),
new Hero("风清扬", 88),
new Hero("独孤求败", 82),
new Hero("任我行", 99)
);
//最大值
Optional<Hero> reduce = heroStream.reduce((h1, h2) -> h1.getStrength() > h2.getStrength() ? h1 : h2);
System.out.println(reduce);
Hero hero = heroStream.reduce(new Hero("-", -1), (h1, h2) -> h1.getStrength() > h2.getStrength() ? h1 : h2);
System.out.println(hero);
//求总数
System.out.println(heroStream.map(h -> 1).reduce(0, (a, b) -> a + b));
long count = heroStream.count();
Optional<Hero> max = heroStream.max(Comparator.comparingInt(Hero::getStrength));
Optional<Hero> min = heroStream.min(Comparator.comparingInt(Hero::getStrength));
int sum = heroStream.mapToInt(Hero::getStrength).sum();
OptionalDouble average = heroStream.mapToInt(Hero::getStrength).average();
收集
//收集，将元素收集入容器
//.collect(()->c,(c,x)->void)
// ()->c 创建容器
// (c,x)->void 将元素x放入容器c
Stream<String> stringStream = Stream.of("张三", "李四", "王老五", "令狐冲", "东方不败", "风清扬", "独孤求败", "任我行");
ArrayList<String> result = stringStream.collect(() -> new ArrayList<>(), (list, x) -> list.add(x), (a, b) -> {});
ArrayList<String> result = stringStream.collect(ArrayList::new, ArrayList::add, (a, b) -> {});
LinkedHashSet<String> result = stringStream.collect(LinkedHashSet::new, Set::add, (a, b) -> {});
HashMap<String, Integer> result = stringStream.collect(HashMap::new, (map, x) -> map.put(x, 1), (a, b) -> {
});
for (Map.Entry<String, Integer> str : result.entrySet()
) {
System.out.println(str.getKey()+" "+str.getValue());
}
StringBuilder collect = stringStream.collect(StringBuilder::new, StringBuilder::append, (a, b) -> {});
System.out.println(collect);
StringJoiner collect = stringStream.collect(() -> new StringJoiner(","), StringJoiner::add, (a, b) -> {});
System.out.println(collect);
Collectos收集器
List<String> collect = stringStream.collect(Collectors.toList());
Set<String> collect1 = stringStream.collect(Collectors.toSet());
String collect2 = stringStream.collect(Collectors.joining());
String collect3 = stringStream.collect(Collectors.joining(","));
for (String s:collect
) {
System.out.println(s);
}
Map<String, Integer> collect4 = stringStream.collect(Collectors.toMap(x -> x, x -> 1));
for (Map.Entry<String, Integer> str : collect4.entrySet()
) {
System.out.println(str.getKey()+" "+str.getValue());
}
下游收集器
//内层的收集器：下游收集器
Map<Integer, java.util.List<String>> collect5 = stringStream.collect(Collectors.groupingBy(x -> x.length(), Collectors.toList()));
for (Map.Entry<Integer, java.util.List<String>> str : collect5.entrySet()
) {
System.out.println(str.getKey()+" "+str.getValue());
}
Map<Integer, String> collect6 = stringStream.collect(Collectors.groupingBy(x -> x.length(), Collectors.joining(",")));
for (Map.Entry<Integer, String> str : collect6.entrySet()
) {
System.out.println(str.getKey()+" "+str.getValue());
}
//mapping(x->y,dc)
Map<Integer, java.util.List<Integer>> collect =
heroStream.collect(Collectors.groupingBy(h -> h.getName().length(), Collectors.mapping(h -> h.getStrength(), Collectors.toList())));
for (Map.Entry<Integer, java.util.List<Integer>> str : collect.entrySet()
) {
System.out.println(str.getKey()+" "+str.getValue());
}
基本流
IntStream intStream = IntStream.of(1, 2, 3, 4, 5, 6);
LongStream longStream = LongStream.of(1L, 2L, 3L);
DoubleStream doubleStream = DoubleStream.of(1.0, 2.0, 3.0);
System.out.println(intStream.sum());
System.out.println(intStream.min());
System.out.println(intStream.max());
System.out.println(intStream.average());
IntSummaryStatistics intSummaryStatistics = intStream.summaryStatistics();
System.out.println(intSummaryStatistics.getSum());
System.out.println(intSummaryStatistics.getMax());
System.out.println(intSummaryStatistics.getMin());
System.out.println(intSummaryStatistics.getCount());
System.out.println(intSummaryStatistics.getAverage());
stream 流的特性
1.一次使用
流只能被消费一次
2.两类操作
（中间操作lazy，终结操作eager）
并行流
数据量问题：数据量大时才推荐并行流。
线程会无限增加吗：跟cpu能处理的线程数相关
收尾的意义：转不可变集合，stringbuilder转string
是否线程安全：不会有线程安全问题
java.util.List<Integer> collect = Stream.of(1, 2, 3, 4, 5, 6, 7, 8, 9)
.parallel()
.collect(Collector.of(
() -> new ArrayList(), //如何创建容器
(list, x) -> list.add(x),//如何向容器添加数据
(list1, list2) -> {
list1.addAll(list2);
return list1;
},//如何合并两个容器的数据
list -> list
//特性：容器是否支持并发，是否需要收尾，是否需要保持收集顺序
));
特性：容器是否支持并发(默认不支持)，是否需要收尾(默认收尾)，是否需要保持收集顺序(默认保证)
标签：Hero,stream,System,collect,println,new,out From： https://www.cnblogs.com/gstszbc/p/18407945