选择同一行中的顶行数据（如果同一列中的数据差小于'；n'；小时）sql

我有需要排序的现有数据，我的问题是如何对同一列中的数据进行排序，如果值之间的差异小于3小时，将选择最高值

这可能吗

根据下表，2019-12-25有3个值

| 2019-12-25 14:00:02.000 | 2019-12-25 |
| 2019-12-25 15:39:57.000 | 2019-12-25 |
| 2019-12-25 22:39:57.000 | 2019-12-25 | 

我想从列表中删除2019-12-25 14:00:02.000，这样剩下的数据将是2019-12-25 15:39:57.000和2019-12-25 22:39:57.000

我试图实现的流程是，如果时间戳之间的日期-小时差异在3小时内，则只会选择最高值，在这种情况下，2019-12-25 15:39:57.000将被选择，因为2019-12-25 14:00:02.000和2019-12-25 15:39:57.000在相同的3小时范围内，2019-12-25 22:39:57.000将保留在表中，因为与2个值相比，它超过了3小时

有没有办法让这起作用

 +-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| badgenumber | checktype | recordout               | checkdate  | employeeidno | fullname | departmentname |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-21 23:43:36.000 | 2019-12-21 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-22 22:36:50.000 | 2019-12-22 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-23 18:03:16.000 | 2019-12-23 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-24 22:06:58.000 | 2019-12-24 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 14:00:02.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 15:39:57.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 22:39:57.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-26 14:00:02.000 | 2019-12-26 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-28 22:00:01.000 | 2019-12-28 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-28 23:31:11.000 | 2019-12-28 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-29 15:08:10.000 | 2019-12-29 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-30 16:03:20.000 | 2019-12-30 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2020-01-02 06:52:18.000 | 2020-01-02 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2020-01-03 08:00:57.000 | 2020-01-03 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2020-01-04 06:40:11.000 | 2020-01-04 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+

例如

+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| badgenumber | checktype | recordout               | checkdate  | employeeidno | fullname | departmentname |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 14:00:02.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 15:39:57.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 22:39:57.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+

两个时间戳之间的差异小于3小时。因此，将改为选择3:39:57 PM，而10:39:57 PM将被忽略，并将保留在表中，因为与同一列中的其他两个数据相比，其时间超过3小时

这是我的预期输出

+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| badgenumber | checktype | recordout               | checkdate  | employeeidno | fullname | departmentname |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-21 23:43:36.000 | 2019-12-21 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-22 22:36:50.000 | 2019-12-22 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-23 18:03:16.000 | 2019-12-23 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-24 22:06:58.000 | 2019-12-24 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 14:00:02.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 15:39:57.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-25 22:39:57.000 | 2019-12-25 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-26 14:00:02.000 | 2019-12-26 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-28 22:00:01.000 | 2019-12-28 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-28 23:31:11.000 | 2019-12-28 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-29 15:08:10.000 | 2019-12-29 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2019-12-30 16:03:20.000 | 2019-12-30 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2020-01-02 06:52:18.000 | 2020-01-02 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2020-01-03 08:00:57.000 | 2020-01-03 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+
| 1233        | O         | 2020-01-04 06:40:11.000 | 2020-01-04 |              |          |                |
+-------------+-----------+-------------------------+------------+--------------+----------+----------------+

这是我的代码中我需要它工作的部分

                    (SELECT MAX(userinfo.badgenumber) AS badgenumber, MAX(RTRIM(checkinout.checktype)) AS 'checktype', 
                    MAX(checkinout.checktime) as 'recordout', MAX(CONVERT(date,checkinout.checktime)) as checkdate, 
                    MAX(RTRIM(employeemasterfile.employeeidno)) AS 'employeeidno', MAX(RTRIM(employeemasterfile.lastname))+', '+ 
                    MAX(RTRIM(employeemasterfile.firstname))+' '+MAX(LEFT(employeemasterfile.middlename,1))+'.' AS 'fullname', 
                    MAX(RTRIM(departmentmasterfile.departmentname)) AS 'departmentname' FROM ((checkinout INNER JOIN userinfo 
                    ON checkinout.userid = userinfo.userid) INNER JOIN employeemasterfile ON userinfo.badgenumber = employeemasterfile.fingerscanno) 
                    INNER JOIN departmentmasterfile ON LEFT(employeemasterfile.employeeidno, 4) = LEFT(departmentmasterfile.departmentcode, 4) 
                    WHERE CONVERT(date,checkinout.checktime) BETWEEN '2019-12-21' AND DATEADD(DAY, 1,'2020-01-05') AND fingerscanno = '1233'
                    AND CHECKINOUT.CHECKTYPE = 'O' COLLATE SQL_Latin1_General_CP1_CS_AS GROUP BY userinfo.badgenumber, LEFT(checkinout.checktime,14)) AS t2
                    ON 
                    t2.recordout BETWEEN DATEADD(HOUR,-6,t0.mergetimeoutorig) AND DATEADD(HOUR, 6,t0.mergetimeoutorig)

示例值

t0.mergetimeoutorig

=2019年12月25日

---

以下代码将为您提供需要排除的日期

SELECT DS.*
FROM @DataSource DS1
CROSS APPLY
(
    SELECT *
    FROM @DataSource DS2
    WHERE DS1.[checkdate] = DS2.[checkdate]
        AND DATEDIFF(HOUR, DS1.[recordout], DS2.[recordout]) < 3
        AND DS1.[recordout] < DS2.[recordout]
) DS;

---

尝试在查询中实现以下逻辑

     --Table where swipe details are stored
            Create table #EmployeeSwipe
            (
            ID INT IDENTITY(1,1) primary key,
            EmployeeID INT,
            CheckType varchar(10),
            SwipeTime DATETIME,
            SwipeDate DATE
            )
        GO
    --this table will have filtered row id's
        CREATE Table #tempdata
        (
        RowID INT 
        )
        GO
    --Dump data
        Insert into #EmployeeSwipe values(
        1,'I','2019-12-27 10:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        1,'O','2019-12-27 14:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        1,'O','2019-12-27 15:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        1,'O','2019-12-27 22:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        2,'O','2019-12-27 14:43:36.000','12/27/2019'
        )
        Insert into #EmployeeSwipe values(
        2,'O','2019-12-27 15:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        3,'O','2019-12-27 14:43:36.000','12/27/2019'
        )
        GO

        ;with cteres
        AS
        (
        SELECT
        P.ID,P.EmployeeID ,P.SwipeDate ,
            p.SwipeTime,
            LEAD(p.SwipeTime) OVER(Partition By P.EmployeeID ORDER BY P.ID) NextValue
        FROM #EmployeeSwipe P Where checktype='O'
        )

  --Here check if difference between two swap time is more than 3 hours    
        Insert into #tempdata
        select ID from 
        (select CASE WHEN 
                DATEDIFF(HOUR,SwipeTime,NextValue) > 3 THEN 1
                WHEN DATEDIFF(HOUR,SwipeTime,NextValue) IS NULL THEN 1
                ELSE 0 END as IsValid,ID from cteres
        ) --where NextValue is not null)
        mres where mres.IsValid = 1

--This will give you final output
        select ES.* from #tempdata T JOIN #EmployeeSwipe ES ON T.RowID = ES.ID

---

非常感谢。我将在我的查询中实现这个逻辑。谢谢。我也会检查一下。

     --Table where swipe details are stored
            Create table #EmployeeSwipe
            (
            ID INT IDENTITY(1,1) primary key,
            EmployeeID INT,
            CheckType varchar(10),
            SwipeTime DATETIME,
            SwipeDate DATE
            )
        GO
    --this table will have filtered row id's
        CREATE Table #tempdata
        (
        RowID INT 
        )
        GO
    --Dump data
        Insert into #EmployeeSwipe values(
        1,'I','2019-12-27 10:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        1,'O','2019-12-27 14:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        1,'O','2019-12-27 15:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        1,'O','2019-12-27 22:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        2,'O','2019-12-27 14:43:36.000','12/27/2019'
        )
        Insert into #EmployeeSwipe values(
        2,'O','2019-12-27 15:43:36.000','12/27/2019'
        )

        Insert into #EmployeeSwipe values(
        3,'O','2019-12-27 14:43:36.000','12/27/2019'
        )
        GO

        ;with cteres
        AS
        (
        SELECT
        P.ID,P.EmployeeID ,P.SwipeDate ,
            p.SwipeTime,
            LEAD(p.SwipeTime) OVER(Partition By P.EmployeeID ORDER BY P.ID) NextValue
        FROM #EmployeeSwipe P Where checktype='O'
        )

  --Here check if difference between two swap time is more than 3 hours    
        Insert into #tempdata
        select ID from 
        (select CASE WHEN 
                DATEDIFF(HOUR,SwipeTime,NextValue) > 3 THEN 1
                WHEN DATEDIFF(HOUR,SwipeTime,NextValue) IS NULL THEN 1
                ELSE 0 END as IsValid,ID from cteres
        ) --where NextValue is not null)
        mres where mres.IsValid = 1

--This will give you final output
        select ES.* from #tempdata T JOIN #EmployeeSwipe ES ON T.RowID = ES.ID