如何从数据集中提取时间

Question

我正在使用 SSMS 处理数据集。我对 SQL 还完全陌生——还不到一个月。但我正在努力磨练以充分利用它。

我正在尝试从数据集中提取时间，以便我可以确定事件的“峰值时间”。我能够获得高峰时间，但没有时间从我的结果中显示事件的具体时间。我用过 REPLACE(REPLACE(CONVERT(VARCHAR, getdate(), 108), 'AM', ' AM'), 'PM', ' PM') AS Time

它返回我的系统时间。我如何从数据集中提取时间？

这是我的代码

SELECT  
   REPLACE(REPLACE(CONVERT(VARCHAR, getdate(), 108), 'AM', ' AM'), 'PM', ' PM') AS Time,
   CASE 
   WHEN DATEPART(HOUR, Created_time) BETWEEN 9 AND 24 THEN 'After Hour' 
   ELSE 'Work Hour' 
   END AS Standard_WH , 
   COUNT(DISTINCT Ticket_ID) AS Distribution
   --Note: Standard_WH is used for standard work hours
FROM [SLA DB].[dbo].[data_challenge]
GROUP BY DATEPART(HOUR, Created_time)
ORDER BY Distribution DESC

这是我的结果

Time      Standard_WH  Distribution
--------  -----------  ------------
20:55:40  After Hour   135
20:55:40  Work Hour    115
20:55:40  Work Hour    108
20:55:40  Work Hour    106
20:55:40  After Hour   104

Answer 1

但是我已经创建了示例

CREATE TABLE

和示例数据：

CREATE TABLE data_challenge (
    Ticket_ID INT,
    Created_time DATETIME
);

INSERT INTO data_challenge (Ticket_ID, Created_time)
VALUES 
(1, '2023-05-01 08:30:00'),
(2, '2023-05-01 09:45:00'),
(3, '2023-05-01 15:00:00'),
(4, '2023-05-01 17:20:00'),
(5, '2023-05-01 23:00:00'),
(6, '2023-05-02 07:10:00'),
(7, '2023-05-02 14:50:00'),
(8, '2023-05-02 22:30:00');

这是一个执行某些操作的查询；但如果没有它

应该

返回什么（或为什么）的例子，我真的不能说它是否准确：

SELECT  
   CONVERT(VARCHAR, MIN(Created_time), 108) AS Earliest_Time,  -- Extracts the time part from the earliest event in that hour
   CASE 
   WHEN DATEPART(HOUR, Created_time) BETWEEN 9 AND 17 THEN 'Work Hour' 
   ELSE 'After Hour' 
   END AS Standard_WH, 
   COUNT(DISTINCT Ticket_ID) AS Distribution
FROM data_challenge
GROUP BY DATEPART(HOUR, Created_time), 
         CASE 
         WHEN DATEPART(HOUR, Created_time) BETWEEN 9 AND 17 THEN 'Work Hour' 
         ELSE 'After Hour' 
         END
ORDER BY Distribution DESC;

给出结果：

Earliest_Time  Standard_WH  Distribution
-------------  -----------  ------------
07:10:00       After Hour   1
08:30:00       After Hour   1
22:30:00       After Hour   1
23:00:00       After Hour   1
09:45:00       Work Hour    1
14:50:00       Work Hour    1
15:00:00       Work Hour    1
17:20:00       Work Hour    1

8 row(s) affected

dbFiddle