T-SQL ：计算日期时间间隔

Question

代码：

DROP TABLE IF EXISTS #LookupDates ;

CREATE TABLE #LookupDates (StartDate DATETIME, EndDate DATETIME)

INSERT INTO #LookupDates
VALUES
    ( '2019-12-01 08:00:00', '2019-12-01 16:00:00' )
  , ( '2019-12-02 10:00:00', '2019-12-02 18:00:00' )
  , ( '2019-12-03 08:30:00', '2019-12-03 16:30:00' )
  , ( '2019-12-04 08:00:00', '2019-12-04 16:00:00' )
  , ( '2019-12-05 08:00:00', '2019-12-05 16:00:00' )
  , ( '2019-12-06 09:00:00', '2019-12-06 17:00:00' )
  , ( '2019-12-07 08:30:00', '2019-12-07 16:30:00' )
  , ( '2019-12-08 11:00:00', '2019-12-08 15:30:00' )
  , ( '2019-12-09 08:30:00', '2019-12-09 16:30:00' )
  , ( '2019-12-10 10:30:00', '2019-12-10 16:45:00' )

DROP TABLE IF EXISTS #Data ;

CREATE TABLE #Data (EmpId INT, ClockInDate DATETIME, ClockOutDate DATETIME)

INSERT INTO #Data
VALUES
    ( 1, '2019-12-01 07:00:00', '2019-12-01 07:30:00' ) -- Completely before
  , ( 1, '2019-12-01 18:00:00', '2019-12-01 22:00:00' ) -- Completely after
  , ( 1, '2019-12-02 09:30:00', '2019-12-02 18:00:00' ) -- Clockin before
  , ( 1, '2019-12-03 09:00:00', '2019-12-03 16:30:00' ) -- Clockin after
  , ( 1, '2019-12-04 08:00:00', '2019-12-04 15:45:00' ) -- Clockout before
  , ( 1, '2019-12-05 08:00:00', '2019-12-05 17:15:00' ) -- Clockout after
  , ( 1, '2019-12-06 08:40:00', '2019-12-06 16:45:00' ) -- Clockin before & Clockout before
  , ( 1, '2019-12-07 08:25:00', '2019-12-07 17:05:00' ) -- Clockin before & Clockout after
  , ( 1, '2019-12-08 12:00:00', '2019-12-08 15:15:00' ) -- Clockin after & Clockout before
  , ( 1, '2019-12-09 08:30:01', '2019-12-09 16:30:27' ) -- Clockin after & Clockout before
  , ( 1, '2019-12-10 10:30:00', '2019-12-10 16:45:00' ) -- Clockin on-time & Clockout on-time

描述：

LookupDates 包含公司的每日营业时间。实际 table 有额外天数的数据。

数据包含每位员工的 ClockIn/Out 时间戳。实际 table 具有额外的 emps 和天数数据。

目标：查找#Data 中的条目是否超出当天的营业时间。

员工打卡早吗？多少秒？
员工打卡迟到了吗？多少秒？
emp提前下班了吗？多少秒？
员工下班晚了吗？多少秒？

期望的输出：

EmpId       LookupStartDate         ClockInDate             IsClockInBefore     ClockInBeforeTimeInSec      IsClockInAfter      ClockInAfterTimeInSec   LookupEndDate           ClockOutDate            IsClockOutBefore    ClockOutBeforeTimeInSec     IsClockOutAfter     ClockOutAfterTimeInSec
1           '2019-12-01 08:00:00'   '2019-12-01 07:00:00'   1                   3600                        0                   0                       '2019-12-01 16:00:00'   '2019-12-01 07:30:00'   1                   30600                       0                   0
1           '2019-12-01 08:00:00'   '2019-12-01 18:00:00'   0                   0                           1                   36000                   '2019-12-01 16:00:00'   '2019-12-01 22:00:00'   0                   0                           1                   21600
1           '2019-12-02 10:00:00'   '2019-12-02 09:30:00'   1                   1800                        0                   0                       '2019-12-02 18:00:00'   '2019-12-02 18:00:00'   0                   0                           0                   0
1           '2019-12-03 08:30:00'   '2019-12-03 09:00:00'   0                   0                           1                   1800                    '2019-12-03 16:30:00'   '2019-12-03 16:30:00'   0                   0                           0                   0
1           '2019-12-04 08:00:00'   '2019-12-04 08:00:00'   0                   0                           0                   0                       '2019-12-04 16:00:00'   '2019-12-04 15:45:00'   1                   900                         0                   0
1           '2019-12-05 08:00:00'   '2019-12-05 08:00:00'   0                   0                           0                   0                       '2019-12-05 16:00:00'   '2019-12-05 17:15:00'   0                   0                           1                   4500
1           '2019-12-06 09:00:00'   '2019-12-06 08:40:00'   1                   1200                        0                   0                       '2019-12-06 17:00:00'   '2019-12-06 16:45:00'   1                   900                         0                   0
1           '2019-12-07 08:30:00'   '2019-12-07 08:25:00'   1                   300                         0                   0                       '2019-12-07 16:30:00'   '2019-12-07 17:05:00'   0                   0                           1                   2100
1           '2019-12-08 11:00:00'   '2019-12-08 12:00:00'   0                   0                           1                   3600                    '2019-12-08 15:30:00'   '2019-12-08 15:15:00'   1                   900                         0                   0
1           '2019-12-09 08:30:00'   '2019-12-09 08:30:01'   0                   0                           1                   1                       '2019-12-09 16:30:00'   '2019-12-09 16:30:27'   0                   0                           1                   27
1           '2019-12-10 10:30:00'   '2019-12-10 10:30:00'   0                   0                           0                   0                       '2019-12-10 16:45:00'   '2019-12-10 16:45:00'   0                   0                           0                   0

Answer 1

select
     #Data.EmpId
    ,#LookupDates.StartDate as LookupStartDate
    ,#Data.ClockInDate
    ,case when #Data.ClockInDate < #LookupDates.StartDate then 1 else 0 end as IsClockInBefore
    ,case when #Data.ClockInDate < #LookupDates.StartDate then datediff(second, #Data.ClockInDate, #LookupDates.StartDate) else 0 end as ClockInBeforeTimeInSec
    ,case when #Data.ClockInDate > #LookupDates.StartDate then 1 else 0 end as IsClockInAfter
    ,case when #Data.ClockInDate > #LookupDates.StartDate then datediff(second, #LookupDates.StartDate, #Data.ClockInDate) else 0 end as ClockInAfterTimeInSec
    ,#LookupDates.EndDate as LookupEndDate
    ,#Data.ClockOutDate
    ,case when #Data.ClockOutDate < #LookupDates.EndDate then 1 else 0 end as IsClockOutBefore
    ,case when #Data.ClockOutDate < #LookupDates.EndDate then datediff(second, #Data.ClockOutDate, #LookupDates.EndDate) else 0 end as ClockOutBeforeTimeInSec
    ,case when #Data.ClockOutDate > #LookupDates.EndDate then 1 else 0 end as IsClockOutAfter
    ,case when #Data.ClockOutDate > #LookupDates.EndDate then datediff(second, #LookupDates.EndDate, #Data.ClockOutDate) else 0 end as ClockOutAfterTimeInSec
from
    #LookupDates
    inner join
    #Data on cast(#LookupDates.StartDate as date) = cast(#Data.ClockInDate as date) --assuming the clock in is always the same date as the start date

Answer 2

假设查找日期和数据中的记录不会分散在几天内，您可以在当天加入。剩下的只是一系列 case 表达式和一些日期算术：

select
    d.EmpId,
    d.StartDate,
    l.ClockInDate,
    case when d.StartDate < l.ClockInDate 
        then 1 
        else 0 
    end IsClockInBefore,
    case when d.StartDate < l.ClockInDate 
        then datediff(second, ClockInDate, StartDate) 
        else 0 
    end ClockInBeforeTimeInSec,
    case when d.StartDate > l.ClockInDate 
        then 1 
        else 0 
    end IsClockInAfter,
    case when d.StartDate > l.ClockInDate 
        then datediff(second, StartDate, ClockInDate) 
        else 0 
    end ClockInAfterTimeInSec,
    d.EndDate,
    l.ClockOutDate,
    case when d.EndDate < l.ClockOutDate 
        then 1 
        else 0 
    end IsClockOutBefore,
    case when d.EndDate < l.ClockOutDate 
        then datediff(second, ClockOutDate, StartDate) 
        else 0 
    end ClockOutBeforeTimeInSec,
    case when d.EndDate > l.ClockOutDate 
        then 1 
        else 0 
    end IsClockOutAfter,
    case when d.EndDate > l.ClockOutDate 
        then datediff(second, StartDate, ClockOutDate) 
        else 0 
    end ClockOutAfterTimeInSec
from #Data d
inner join #LookupDates l 
    on cast(d.ClockInDate as date) = cast(l.StartDate as date)

Answer 3

不是不同的方法。
刚刚尝试了一些不同的东西。
（好吧，我承认，我真的很无聊。）

SELECT
 io.EmpId,
 lk.StartDate AS LookupStartDate,
 io.ClockInDate,
 CAST(  IIF(io.ClockInDate < lk.StartDate,1,0) AS BIT) AS IsClockInBefore,
 (CASE WHEN io.ClockInDate < lk.StartDate
  THEN DATEDIFF(SECOND, io.ClockInDate, lk.StartDate) 
  ELSE 0 END) AS ClockInBeforeTimeInSec,
 CAST(  IIF(io.ClockInDate > lk.StartDate, 1, 0) AS BIT) AS IsClockInAfter,
 (CASE WHEN io.ClockInDate > lk.StartDate
  THEN DATEDIFF(SECOND, lk.StartDate, io.ClockInDate) 
  ELSE 0 END) AS ClockInAfterTimeInSec,
 lk.EndDate AS LookupEndDate,
 io.ClockOutDate,
 CAST(  IIF(io.ClockOutDate < lk.EndDate,1,0) AS BIT) AS IsClockOutBefore,
 (CASE WHEN io.ClockOutDate < lk.EndDate
  THEN DATEDIFF(SECOND, io.ClockOutDate, lk.EndDate) 
  ELSE 0 END) AS ClockOutBeforeTimeInSec,
 CAST(  IIF(io.ClockOutDate > lk.EndDate,1,0) AS BIT) AS IsClockOutAfter,
 (CASE WHEN io.ClockOutDate > lk.EndDate
  THEN DATEDIFF(SECOND, lk.EndDate, io.ClockOutDate) 
  ELSE 0 END) AS ClockOutAfterTimeInSec
FROM #Data AS io
JOIN #LookupDates AS lk
  ON CONVERT(DATE, lk.StartDate) = CONVERT(DATE, io.ClockInDate)
ORDER BY io.EmpId, io.ClockInDate;
GO

EmpId | LookupStartDate     | ClockInDate         | IsClockInBefore | ClockInBeforeTimeInSec | IsClockInAfter | ClockInAfterTimeInSec | LookupEndDate       | ClockOutDate        | IsClockOutBefore | ClockOutBeforeTimeInSec | IsClockOutAfter | ClockOutAfterTimeInSec
----: | :------------------ | :------------------ | :-------------- | ---------------------: | :------------- | --------------------: | :------------------ | :------------------ | :--------------- | ----------------------: | :-------------- | ---------------------:
    1 | 01/12/2019 08:00:00 | 01/12/2019 07:00:00 | True            |                   3600 | False          |                     0 | 01/12/2019 16:00:00 | 01/12/2019 07:30:00 | True             |                   30600 | False           |                      0
    1 | 01/12/2019 08:00:00 | 01/12/2019 18:00:00 | False           |                      0 | True           |                 36000 | 01/12/2019 16:00:00 | 01/12/2019 22:00:00 | False            |                       0 | True            |                  21600
    1 | 02/12/2019 10:00:00 | 02/12/2019 09:30:00 | True            |                   1800 | False          |                     0 | 02/12/2019 18:00:00 | 02/12/2019 18:00:00 | False            |                       0 | False           |                      0
    1 | 03/12/2019 08:30:00 | 03/12/2019 09:00:00 | False           |                      0 | True           |                  1800 | 03/12/2019 16:30:00 | 03/12/2019 16:30:00 | False            |                       0 | False           |                      0
    1 | 04/12/2019 08:00:00 | 04/12/2019 08:00:00 | False           |                      0 | False          |                     0 | 04/12/2019 16:00:00 | 04/12/2019 15:45:00 | True             |                     900 | False           |                      0
    1 | 05/12/2019 08:00:00 | 05/12/2019 08:00:00 | False           |                      0 | False          |                     0 | 05/12/2019 16:00:00 | 05/12/2019 17:15:00 | False            |                       0 | True            |                   4500
    1 | 06/12/2019 09:00:00 | 06/12/2019 08:40:00 | True            |                   1200 | False          |                     0 | 06/12/2019 17:00:00 | 06/12/2019 16:45:00 | True             |                     900 | False           |                      0
    1 | 07/12/2019 08:30:00 | 07/12/2019 08:25:00 | True            |                    300 | False          |                     0 | 07/12/2019 16:30:00 | 07/12/2019 17:05:00 | False            |                       0 | True            |                   2100
    1 | 08/12/2019 11:00:00 | 08/12/2019 12:00:00 | False           |                      0 | True           |                  3600 | 08/12/2019 15:30:00 | 08/12/2019 15:15:00 | True             |                     900 | False           |                      0
    1 | 09/12/2019 08:30:00 | 09/12/2019 08:30:01 | False           |                      0 | True           |                     1 | 09/12/2019 16:30:00 | 09/12/2019 16:30:27 | False            |                       0 | True            |                     27
    1 | 10/12/2019 10:30:00 | 10/12/2019 10:30:00 | False           |                      0 | False          |                     0 | 10/12/2019 16:45:00 | 10/12/2019 16:45:00 | False            |                       0 | False           |                      0

db<>fiddle here

Answer 4

我想您所需要的只是针对不同列数的多个相同案例。您的查询中没有其他内容。

     Select case when 
    checkindatetime<estimated then
    1 else 0 end as "CheckedInearly" ,
    Abs(checkindatetime-estimated) 
   .....same logic for other columns
   From table

T-SQL ：计算日期时间间隔

T-SQL : calculate DateTime gaps

sql

tsql

sql-server

date

sql-server-2016