SQL Time Tracking Запрос

Question

данных:

EmpNumber,  TimeStamp,   AreaName 
10632, 2009-11-23 16:40:33.000, OUT_1 
10632, 2009-11-23 16:39:03.000, IN_1 
10632, 2009-11-23 16:38:56.000, IN_1 
10632, 2009-11-23 15:31:51.000, OUT_1 
10632, 2009-11-23 15:31:48.000, IN_1 
10632, 2009-11-23 15:31:43.000, IN_1 
10632, 2009-11-23 15:31:14.000, OUT_1 
10632, 2009-11-23 15:31:08.000, IN_1 
10632, 2009-11-23 15:29:18.000, OUT_1 
10632, 2009-11-23 15:28:29.000, IN_1 
10632, 2009-11-23 15:27:35.000, OUT_1 
10632, 2009-11-23 15:26:35.000, IN_1 
10632, 2009-11-23 15:22:55.000, IN_1

Вот запрос я в настоящее время использую.

SELECT [EmpNumber], [TimeStamp], [AreaName], 
    DATEDIFF(second, [TimeStamp], (SELECT TOP 1 [TimeStamp] 
            FROM [EventTable] EV2 
            WHERE EV2.[TimeStamp] > EV1.[TimeStamp] 
            AND AreaName = 'OUT_1' 
            AND EV2.[EmpNumber] = EV1.[EmpNumber]) 
      )/60.00 DurationMins 
FROM [EventTable] EV1 
WHERE AreaName = 'IN_1' 
ORDER BY [TimeStamp] DESC 

Проблема заключается в нескольких вводах IN_1. Я хотел бы просто отслеживать разницу во времени между первой записью IN_1 и следующей записью OUT_1 и игнорировать запись IN_1. Конечно, вы могли бы иметь 100 IN_1, но время отслеживается только с первых IN_1 до следующего OUT_1.

усложнять дальше могло быть IN_1, IN_2, IN_3, OUT_1, OUT_2, OUT_3 и вы можете ввести IN_1 и оставьте OUT_3 и и он будет работать так же, как это было IN_1, OUT_1.

Answer 1

Решенные

declare @test table (
    ID int, 
    empnumber int, 
    timestamp datetime, 
    areaname varchar(20) 
    ) 

INSERT INTO @test VALUES (1, 10632, '2009-11-23 16:40:33.000', 'OUT_1') 
INSERT INTO @test VALUES (2, 10632, '2009-11-23 16:39:03.000', 'IN_1' ) 
INSERT INTO @test VALUES (3, 10632, '2009-11-23 16:38:56.000', 'IN_1' ) 
INSERT INTO @test VALUES (4, 10632, '2009-11-23 15:31:51.000', 'OUT_1') 
INSERT INTO @test VALUES (5, 10632, '2009-11-23 15:31:48.000', 'IN_1' ) 
INSERT INTO @test VALUES (6, 10632, '2009-11-23 15:31:43.000', 'IN_1' ) 
INSERT INTO @test VALUES (7, 10632, '2009-11-23 15:31:14.000', 'OUT_1') 
INSERT INTO @test VALUES (8, 10632, '2009-11-23 15:31:08.000', 'IN_1' ) 
INSERT INTO @test VALUES (9, 10632, '2009-11-23 15:29:18.000', 'OUT_1') 
INSERT INTO @test VALUES (10, 10632, '2009-11-23 15:28:29.000', 'IN_1' ) 
INSERT INTO @test VALUES (11, 10632, '2009-11-23 15:27:35.000', 'OUT_1') 
INSERT INTO @test VALUES (12, 10632, '2009-11-23 15:26:35.000', 'IN_1') 
INSERT INTO @test VALUES (13, 10632, '2009-11-23 15:22:55.000', 'IN_1') 



select g.empnumber, min(g.[timestamp]) as starttime, g.[timeout] as endtime, DATEDIFF(second,min(g.[timestamp]),g.[timeout])/60 as mins 
FROM 
(
select empnumber, [timestamp], (
SELECT TOP 1 s.[timestamp] FROM @test s 
    WHERE s.areaname like 'OUT%' AND s.[timestamp] > base.[timestamp] 
    ORDER BY s.[timestamp] ASC) as [timeout] 
from @test base 
where base.areaname like 'IN%' 
) g 
GROUP BY g.empnumber, g.[timeout] 

дает следующие результаты:

empnumber starttime    endtime     mins 
10632  2009-11-23 15:22:55.000 2009-11-23 15:27:35.000 4 
10632  2009-11-23 15:28:29.000 2009-11-23 15:29:18.000 0 
10632  2009-11-23 15:31:08.000 2009-11-23 15:31:14.000 0 
10632  2009-11-23 15:31:43.000 2009-11-23 15:31:51.000 0 
10632  2009-11-23 16:38:56.000 2009-11-23 16:40:33.000 1 

Это будет работать для все типы, если IN_ и OUT_

Answer 2

Ник, различные двери не проблема, вместо того чтобы использовать = 'IN_1' и = 'OUT_1' использования like 'IN%' и like 'OUT%'

Answer 3

CTE будут работать на SQL Server 2005, 2008. Вставка тестовых данных относится к 2008 году.

DECLARE @EventTable TABLE 
    ( 
    EmpNumber int 
    ,[TimeStamp] datetime 
    ,AreaName varchar(5) 
    ) 

INSERT INTO @EventTable 
     (EmpNumber, [TimeStamp], AreaName) 
VALUES 
     (10632, '2009-11-23 16:40:33.000', 'OUT_1') 
,  (10632, '2009-11-23 16:39:03.000', 'IN_1') 
,  (10632, '2009-11-23 16:38:56.000', 'IN_1') 
,  (10632, '2009-11-23 15:31:51.000', 'OUT_1') 
,  (10632, '2009-11-23 15:31:48.000', 'IN_1') 
,  (10632, '2009-11-23 15:31:43.000', 'IN_1') 
,  (10632, '2009-11-23 15:31:14.000', 'OUT_1') 
,  (10632, '2009-11-23 15:31:08.000', 'IN_1') 
,  (10632, '2009-11-23 15:29:18.000', 'OUT_1') 
,  (10632, '2009-11-23 15:28:29.000', 'IN_1') 
,  (10632, '2009-11-23 15:27:35.000', 'OUT_1') 
,  (10632, '2009-11-23 15:26:35.000', 'IN_1') 
,  (10632, '2009-11-23 15:22:55.000', 'IN_1') 

; 
WITH cte_1 -- order by time and spilt to InTime, OutTime 
     AS (SELECT 
       EmpNumber 
      ,case WHEN AreaName LIKE 'IN%' THEN [TimeStamp] 
        ELSE NULL 
       END AS InTime 
      ,case WHEN AreaName LIKE 'OUT%' THEN [TimeStamp] 
        ELSE NULL 
       END AS OutTime 
      ,AreaName 
      ,row_number() OVER (ORDER BY [TimeStamp] ASC) AS rn 
      FROM 
       @EventTable 
      ), 
     cte_2 -- mark those that repeat 
     AS (SELECT 
       t.EmpNumber 
      ,t.InTime 
      ,t.OutTime 
      ,t.AreaName 
      ,t.rn 
      ,case WHEN (SELECT AreaName 
          FROM cte_1 AS x 
          WHERE x.rn = t.rn - 1 
         ) = t.AreaName THEN 1 
        ELSE 0 
       END AS mrk 
      FROM cte_1 AS t 
      ), 
     cte_3 --extract non repeats and group 
     AS (SELECT 
       * 
      ,row_number() OVER (PARTITION BY AreaName ORDER BY rn ASC) AS rn2 
      FROM cte_2 
      WHERE mrk = 0 
      ) 
    SELECT 
    t1.EmpNumber 
    ,t1.InTime 
    ,t2.Outtime 
    ,datediff(ss, t1.InTime, t2.OutTime) AS Duration 
    FROM 
    cte_3 AS t1 
    JOIN cte_3 AS t2 ON t1.rn2 = t2.rn2 
    WHERE 
    t1.Intime IS NOT NULL 
    AND t2.Outtime IS NOT NULL 
    ORDER BY 
    t1.rn