記錄Stream對集合常見的幾個用法：

測試物件 Order

@Data
@AllArgsConstructor
@ToString
public class Order {

    public String userId;

    public String orderId;

    private Long createTime;

    public Long amount;
}

用法

 // 測試資料
        Order order1 = new Order("u-001", "o-800", 1650435798635L, 101L);
        Order order2 = new Order("u-001", "o-801", 1650435838644L, 102L);
        Order order3 = new Order("u-002", "o-802", 1650435871646L, 98L);
        Order order4 = new Order("u-003", "o-803", 1650435898645L, 220L);
        Order order5 = new Order("u-003", "o-804", 1650435917645L, 300L);
        List<Order> orderList = Arrays.asList(order1, order2, order3, order4, order5);


        // 1. 查詢出訂單集合中建立時間最小的元素
        Optional<Order> minCreateTimeOption = orderList.stream().min(Comparator.comparing(Order::getCreateTime));
        if (minCreateTimeOption.isPresent()) {
            Order minCreateTimeOrder = minCreateTimeOption.get();
            System.out.println(minCreateTimeOrder);
        }

        // 2. 查詢訂單集合中最大的建立時間
        OptionalLong maxCreateTime = orderList.stream().mapToLong(Order::getCreateTime).max();
        System.out.println("最大的建立時間:" + maxCreateTime);

        // 3. 統計訂單集合每個使用者的訂單數量
        Map<String, Long> groupByUserAndStatNumMap = orderList.parallelStream().collect(Collectors.groupingBy(Order::getUserId, Collectors.counting()));
        Iterator<Map.Entry<String, Long>> iterator =  groupByUserAndStatNumMap.entrySet().iterator();
        while (iterator.hasNext()) {
            Map.Entry<String, Long> entry = iterator.next();
            System.out.println("使用者id:"+entry.getKey() + ", 訂單數:=" + entry.getValue());
        }

        // 4.按使用者分組
        Map<String, List<Order>> groupByUserMap = orderList.parallelStream()
                .collect(Collectors.groupingBy(Order::getUserId));