1、以xx大于3位数的过滤，选择3条数据并输出
toLists().stream().filter(d->d.getName().length()>3).limit(3).distinct().forEach(s-> System.out.println(s));
2、xx中所有xx价格是否全都2000以上
Boolean temp = toLists().stream().allMatch(d->d.getPrice()>2000);
3、找到第一个数据，直接返回
Optional<Dish> any = toLists().stream().filter(s -> s.getName().length() > 2).findAny();
4、自定义排序,通过Y坐标逆排序
List<LineContent> newList = lineContents.stream().sorted(Comparator.comparingDouble(LineContent::getY).reversed()).collect(Collectors.toList());
5、遍历将Map集合的Value 存放到list集合中
List<String> leftList = leftContentMap.entrySet().stream().map(o-> o.getValue()).collect(Collectors.toList());
6、map分组采用Collectors.groupingBy的样子
Map<Integer,List<Coupon>> resultList = couponList.stream().collect(Collectors.groupingBy(Coupon::getCouponId));
7、分组高级Map
<Integer,List<String>> resultList = couponList.stream().collect(Collectors.groupingBy(Coupon::getCouponId,Collectors.mapping(Coupon::getName,Collectors.toList())));
8、List快速转Map
Map<Integer,Apple> appleMap = appleList.stream().collect(Collectors.toMap(Apple::getId, a -> a,(k1,k2)->k1));
9、数据求和
BigDecimal totalMoney = appleList.stream().map(Apple::getMoney).reduce(BigDecimal.ZERO, BigDecimal::add);
10、查找流中最大 最小值
Optional<Dish> maxDish = Dish.menu.stream().collect(Collectors.maxBy(Comparator.comparing(Dish::getCalories)));maxDish.ifPresent(System.out::println);
Optional<Dish> minDish = Dish.menu.stream(). collect(Collectors.minBy(Comparator.comparing(Dish::getCalories)));minDish.ifPresent(System.out::println);
11、去重
List<Person> unique = appleList.stream().collect(collectingAndThen(toCollection(() -> new TreeSet<>(comparingLong(Apple::getId))),ArrayList::new));
12、分组之toMap
Map<Integer,Integer> appleMap = appleList.stream().collect(Collectors.toMap(a -> a.getId(), a -> a.getId(),(k1,k2)->k1));
