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単一のテーブルからログイン日時とログアウト日時をペアにして、稼働時間を計算します。

EmployeeLogInOut テーブル:

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

以下のサンプルデータを参照してください。

タイプ: 1 = ログイン 2 = ログアウト

自動: 0 = 手動 1 = 自動

従業員が一日の終わりにログアウトしないと自動的に発生します。従業員がログアウトしていない場合、システムは従業員を 1 日の終わりに自動的にログアウトします。

また、ソフトウェアの更新が発生した場合などに、従業員が自動的にログアウトされる可能性もあります...

レポートの場合、毎日 (SalesDate) に従業員がシステムにログインしていた時間を計算する必要があります。

結果を次のようなテーブルに入れようとしています

LogOnTime datetime, 
LogOffTime datetime,
DurationInMinute int,
DepartmentGUID uniqueidentifier

しかし、各 logIn に対応する logOut が存在しない可能性があり、その逆も同様であるため、このアプローチではエラーが発生します。

私のスクリプト：

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

サンプルデータ：

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')

どんなアイデアでも大歓迎です:-)

LogOut 時刻に対応する LogIn Datetime が存在しない場合、対応する LogIn Datetime を実際の salesDate の 06:00 に設定できると考えました。

また、LogIn Datetime に対応する LogOut Datetime がない場合は、05:59 に設定できます。

または、対応しないすべてのログイン/ログアウト エントリを無視します。

PS: EmployeeLogInOut テーブルも、データの入力方法も変更できません。

4

1 に答える 1

0

以下に、サンプル データに対して機能する基本的なコードをいくつか示しますが、ビジネス ルールに対応するにはさらに改良が必要になる場合があります。あなたのビジネス ルールにより近いサンプル データと、それらのルールに従って期待される結果を提供できれば、コードを作り直して、それで動作するようにすることができます。

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;

これにより、次の結果が生成されます。

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 に答える