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将登录日期时间与单个表中的注销日期时间配对，并计算工作时间。

EmployeeLogInOut 表：

TransactionID bigint,
TransactionDate datetime,
Type smallint,
Automatic bit,
SalesDate datetime,
EmployeeGUID uniqueidentifier,
DepartmentGUID uniqueidentifier

请参阅下面的示例数据。

类型： 1 = 登录 2 = 注销

自动： 0 = 手动 1 = 自动

当员工在一天结束时不注销时自动发生。如果员工未注销，系统将在一天结束时自动注销该员工。

当软件更新发生等时，员工也可以自动注销......

对于报告，我需要计算员工每天登录系统的分钟数（SalesDate）。

我试图把我的结果放到桌子上

LogOnTime datetime, 
LogOffTime datetime,
DurationInMinute int,
DepartmentGUID uniqueidentifier

但是因为每个 logIn 可能不存在相应的 logOut，反之亦然，我在这种方法上遇到错误。

我的脚本：

declare @EmployeeGUID uniqueidentifier
declare @StartDate datetime
declare @EndDate datetime

set @EmployeeGUID = 'C335F76A-E757-48D9-8DFE-01096EEA6A71'
set @StartDate = '09-01-2011'
set @EndDate = '09-30-2011'



create table #result
(
    LogOnTime datetime, 
    LogOffTime datetime,
    DurationInMinute int,
    DepartmentGUID uniqueidentifier
)


    Insert #result(LogOnTime,LogOffTime,DurationInMinute,DepartmentGUID  ) 
    Select A.TransactionDate, B.TransactionDate,datediff(minute,A.TransactionDate, isnull(B.TransactionDate,GetDate())),A.DepartmentGUID
       from 
        (Select Row_number() over (order by TransactionDate) as Num ,* from EmployeeLogInOut 
         where [Type]=1 and  EmployeeGUID = @EmployeeGUID and SalesDate between @StartDate and @EndDate ) as A
        LEFT JOIN  
        (Select Row_number() over (order by TransactionDate) as Num,* from EmployeeLogInOut 
         where [Type]=2   and EmployeeGUID = @EmployeeGUID and SalesDate between @StartDate and @EndDate ) as B
        ON A.Num = B.Num 

    select * from #result
    drop table #result

样本数据：

CREATE TABLE EmployeeLogInOut(
    [TransactionID] [bigint] NOT NULL,
    [TransactionDate] [datetime] NOT NULL,
    [Type] [smallint] NOT NULL,
    [Automatic] [bit] NOT NULL,
    [SalesDate] [datetime] NOT NULL,
    [EmployeeGUID] [uniqueidentifier] NOT NULL,
    [DepartmentGUID] [uniqueidentifier] NOT NULL
)

INSERT INTO EmployeeLogInOut VALUES 
(2006,'2011-09-05 16:59:39.000',1,0,'2011-09-05 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2008,'2011-09-05 21:57:22.000',2,0,'2011-09-05 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2019,'2011-09-06 16:59:37.000',1,0,'2011-09-06 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2022,'2011-09-06 17:35:41.430',2,0,'2011-09-06 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2039,'2011-09-06 17:36:41.000',2,1,'2011-09-06 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2023,'2011-09-06 17:37:41.000',1,0,'2011-09-06 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2037,'2011-09-07 00:45:32.000',2,0,'2011-09-06 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2054,'2011-09-08 17:12:19.000',1,0,'2011-09-08 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2059,'2011-09-08 20:58:17.000',2,0,'2011-09-08 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2262,'2011-09-20 20:09:10.000',1,0,'2011-09-20 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2269,'2011-09-21 06:59:00.000',2,1,'2011-09-20 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2278,'2011-09-21 17:06:49.000',1,0,'2011-09-21 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2282,'2011-09-21 22:05:29.000',2,0,'2011-09-21 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2283,'2011-09-21 22:06:55.000',1,0,'2011-09-21 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A'),
(2284,'2011-09-21 22:09:04.000',2,0,'2011-09-21 00:00:00.000','C335F76A-E757-48D9-8DFE-01096EEA6A71','520EEFD4-DC30-4390-BB7F-FEFD83D9576A')

任何想法将不胜感激:-)

我的想法是，如果在 LogOut 时间不存在相应的 LogIn Datetime，则相应的 LogIn Datetime 可以设置为实际 salesDate 的 06:00。

如果 LogIn Datetime 缺少相应的 LogOut Datetime，则可以将其设置为 05:59

或者只是忽略所有不对应的 LogIn/LogOut 输入。

PS：我无法更改 EmployeeLogInOut 表，也无法更改数据的输入方式。

4

1 回答 1

0

下面是一些基本代码，它们可以针对您的示例数据工作，但可能需要进一步完善以解决您的业务规则。如果您可以提供与您的业务规则更接近的示例数据以及根据这些规则的预期结果，我可以重新编写代码以使用它。

WITH Ranked AS (
--Ranking the rows to clean-up the data.
SELECT  TransactionDate,
        [Type],
        SalesDate,
        --EmployeeGUID and DepartmentGUID should be added to the PARTITION BY section in a real scenario. For the sample data they are irrelevant.
        Sequence = ROW_NUMBER() OVER(PARTITION BY SalesDate ORDER BY TransactionDate)
FROM    #EmployeeLogInOut
), Clean AS (
--A more complex clean-up process can be in place here. Right now it just eliminates transactions where the type doesn't alternate from the previous one.
SELECT  TransactionDate,
        [Type],
        SalesDate
FROM    Ranked AS R
WHERE   NOT EXISTS (SELECT 1 FROM Ranked WHERE SalesDate = R.SalesDate AND Type = R.Type AND Sequence = R.Sequence - 1)
--Previous CTEs can be bypassed and we can reference #EmployeeLogInOut instead of Clean, but we would get some "wrong" output for SalesDate 2011-09-06
), LI AS (
SELECT  SalesDate,
        LogInTime = TransactionDate,
        --EmployeeGUID and DepartmentGUID should be added to the PARTITION BY section in a real scenario. For the sample data they are irrelevant.
        Sequence = ROW_NUMBER() OVER (PARTITION BY SalesDate ORDER BY TransactionDate)
FROM    Clean
WHERE   [Type] = 1
), LO AS (
SELECT  SalesDate,
        LogOutTime = TransactionDate,
        --EmployeeGUID and DepartmentGUID should be added to the PARTITION BY section in a real scenario. For the sample data they are irrelevant.
        Sequence = ROW_NUMBER() OVER (PARTITION BY SalesDate ORDER BY TransactionDate)
FROM    Clean
WHERE   [Type] = 2
)
SELECT  LI.SalesDate,
    LI.LogInTime,
    LO.LogOutTime,
    WorkTime = DATEDIFF(MINUTE, LI.LoginTime, LO.LogoutTime)
FROM    LI 
    LEFT JOIN LO ON LO.SalesDate = LI.SalesDate
        AND LI.Sequence = LO.Sequence;

这会产生以下结果：

SalesDate   LogInTime   LogOutTime  WorkTime
2011-09-05 00:00:00.000 2011-09-05 16:59:39.000 2011-09-05 21:57:22.000 298
2011-09-06 00:00:00.000 2011-09-06 16:59:37.000 2011-09-06 17:35:41.430 36
2011-09-06 00:00:00.000 2011-09-06 17:37:41.000 2011-09-07 00:45:32.000 428
2011-09-08 00:00:00.000 2011-09-08 17:12:19.000 2011-09-08 20:58:17.000 226
2011-09-20 00:00:00.000 2011-09-20 20:09:10.000 2011-09-21 06:59:00.000 650
2011-09-21 00:00:00.000 2011-09-21 17:06:49.000 2011-09-21 22:05:29.000 299
2011-09-21 00:00:00.000 2011-09-21 22:06:55.000 2011-09-21 22:09:04.000 3
于 2012-01-09T14:22:43.990 回答