Steam流应用--排序

Stream通道流支持两种排序方式:sorted()自然排序;sorted(Comparator comp)。

sorted()自然排序:产生一个新流,流中每个序列按自然排序的方式进行排序。

sorted(Comparator comp):产生一个新流,流中的每个序列按自定义的比较器排序进行排序

一、sorted()

public static void main(String[] args) throws InterruptedException {

        List<String> list1 = new ArrayList<>();

        list1.add("2");
        list1.add("1");
        list1.add("3");

        Stream<String> stream1 = list1.stream().sorted();

        stream1.forEach(p -> System.out.println(p));

    }

输出结果:

1
2
3

二、sorted(Comparator comp)

public static void main(String[] args) throws InterruptedException {

        List<Order> list = new ArrayList<>();

        Order order1 = new Order(LocalDateTime.now(), 1);

        Thread.sleep(2000);

        Order order2 = new Order(LocalDateTime.now(), 2);

        Thread.sleep(2000);

        Order order3 = new Order(LocalDateTime.now(), 3);

        Thread.sleep(2000);

        Order order4 = new Order(LocalDateTime.now(), 4);

        list.add(order2);
        list.add(order1);
        list.add(order3);
        list.add(order4);

        Stream<Order> stream = list.stream().sorted((o1, o2) -> {
            if (o1.getOrderTime().toInstant(ZoneOffset.of("+8")).toEpochMilli() - o2.getOrderTime().toInstant(ZoneOffset.of("+8")).toEpochMilli() >= 0) {
                return o1.getOrderTime().compareTo(o2.getOrderTime());
            } else {
                return o1.getOrderTime().compareTo(o2.getOrderTime());
            }
        });

        stream.forEach(p -> System.out.println(p));

    }

输出结果:

Order{orderTime=2018-08-09T15:59:28.458, orderId=1}
Order{orderTime=2018-08-09T15:59:30.460, orderId=2}
Order{orderTime=2018-08-09T15:59:32.461, orderId=3}
Order{orderTime=2018-08-09T15:59:34.461, orderId=4}

获取排序的第一个元素

public static void main(String[] args) throws InterruptedException {

        List<Order> list = new ArrayList<>();

        Order order1 = new Order(LocalDateTime.now(), 1);

        Thread.sleep(2000);

        Order order2 = new Order(LocalDateTime.now(), 2);

        Thread.sleep(2000);

        Order order3 = new Order(LocalDateTime.now(), 3);

        Thread.sleep(2000);

        Order order4 = new Order(LocalDateTime.now(), 4);

        list.add(order2);
        list.add(order1);
        list.add(order3);
        list.add(order4);

        Stream<Order> stream = list.stream().sorted((o1, o2) -> {
            if (o1.getOrderTime().toInstant(ZoneOffset.of("+8")).toEpochMilli() - o2.getOrderTime().toInstant(ZoneOffset.of("+8")).toEpochMilli() >= 0) {
                return o1.getOrderTime().compareTo(o2.getOrderTime());
            } else {
                return o1.getOrderTime().compareTo(o2.getOrderTime());
            }
        });

        Optional<Order> first = stream.findFirst();

        System.out.println(first);

        Order order = first.get();

        System.out.println(order);
    }

输出结果:

Optional[Order{orderTime=2018-08-09T16:47:26.415, orderId=1}]
Order{orderTime=2018-08-09T16:47:26.415, orderId=1}

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转载自blog.csdn.net/qinaye/article/details/81539899
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