7

我正在尝试获得连续工作时间跨度的开始和结束日期组合。跨度可以跨多行，其中第一行的结束日期与下一行的结束日期相同。预期的结果是显示一个连续的日期范围以及该范围内的工作时间总和。

person  startdate                enddate                   hours
------  -----------------------  -----------------------  ------
5163    2013-04-29 07:00:00.000  2013-04-29 11:00:00.000    4.00
5163    2013-04-29 11:30:00.000  2013-04-29 15:30:00.000    4.00
5163    2013-04-29 15:30:00.000  2013-04-29 19:06:00.000    3.60
5851    2013-05-02 19:00:00.000  2013-05-02 23:00:00.000    4.00
5851    2013-05-02 23:00:00.000  2013-05-03 00:00:00.000    1.00
5851    2013-05-03 00:00:00.000  2013-05-03 00:31:00.000    0.52

从以上数据，我想要以下。

person  startdate                enddate                   hours
------  -----------------------  -----------------------  ------
5163    2013-04-29 07:00:00.000  2013-04-29 11:00:00.000    4.00
5163    2013-04-29 11:30:00.000  2013-04-29 19:06:00.000    7.60
5851    2013-05-02 19:00:00.000  2013-05-03 00:31:00.000    5.52

对于每个人和新的（非连续的）日期跨度，将当前行的结束日期与下一行的开始日期进行比较。如果它们相同，则累积小时数并继续处理行，直到 enddate / startdate 不相等。

环境是 SQL Server 2008 R2。我尝试了涉及自连接的查询，使用 row_number 和 partition() 函数，但未能获得成功的解决方案。谢谢！

编辑：这是 RichardTheKiwi 解决方案的数据流——我为一个人运行了它，看看一周的拳打产生了多少递归。

declare @startdate datetime;
    set @startdate = '20130429';
declare @enddate datetime;
    set @enddate = '20130506';

with tbl as (
select 
PERSONNUM,
STARTDTM,
ENDDTM,
convert(decimal(10,2),1.0 * TIMEINSECONDS / 3600) as timeinhours
from vp_totals
where paycodetype = 'p'
and applydate >= @startdate and APPLYDATE < @enddate 
and (paycodename like '%regular%'
     or paycodename like '%overtime%'
     or PAYCODENAME like '%double time%')
and (PAYCODENAME not like '%shift premium%')
and PERSONNUM = 'loh-5851'
)

select * from tbl order by startdtm -- 27 rows


PERSONNUM       STARTDTM            ENDDTM               timeinhours 
LOH-5851        2013-04-29 14:30:00 2013-04-29 18:30:00  4.0000 
LOH-5851        2013-04-29 19:00:00 2013-04-29 23:00:00  4.0000 
LOH-5851        2013-04-29 23:00:00 2013-04-30 00:00:00  1.0000 
LOH-5851        2013-04-30 00:00:00 2013-04-30 00:11:00  0.1800 
LOH-5851        2013-04-30 14:45:00 2013-04-30 18:45:00  4.0000 
LOH-5851        2013-04-30 19:15:00 2013-04-30 23:00:00  3.7500 
LOH-5851        2013-04-30 23:00:00 2013-04-30 23:15:00  0.2500 
LOH-5851        2013-04-30 23:15:00 2013-05-01 00:00:00  0.7500 
LOH-5851        2013-05-01 00:00:00 2013-05-01 00:11:00  0.1800 
LOH-5851        2013-05-01 14:30:00 2013-05-01 18:30:00  4.0000 
LOH-5851        2013-05-01 19:00:00 2013-05-01 23:00:00  4.0000 
LOH-5851        2013-05-01 23:00:00 2013-05-02 00:00:00  1.0000 
LOH-5851        2013-05-02 00:00:00 2013-05-02 00:22:00  0.3700 
LOH-5851        2013-05-02 14:30:00 2013-05-02 18:30:00  4.0000 
LOH-5851        2013-05-02 19:00:00 2013-05-02 23:00:00  4.0000 
LOH-5851        2013-05-02 23:00:00 2013-05-03 00:00:00  1.0000 
LOH-5851        2013-05-03 00:00:00 2013-05-03 00:31:00  0.5200 
LOH-5851        2013-05-03 14:45:00 2013-05-03 17:45:00  3.0000 
LOH-5851        2013-05-03 17:45:00 2013-05-03 18:45:00  1.0000 
LOH-5851        2013-05-03 19:15:00 2013-05-03 23:00:00  3.7500 
LOH-5851        2013-05-03 23:00:00 2013-05-03 23:15:00  0.2500 
LOH-5851        2013-05-03 23:15:00 2013-05-04 00:00:00  0.7500 
LOH-5851        2013-05-04 00:00:00 2013-05-04 00:15:00  0.2500 
LOH-5851        2013-05-04 14:00:00 2013-05-04 18:00:00  4.0000 
LOH-5851        2013-05-04 18:30:00 2013-05-04 22:30:00  4.0000 
LOH-5851        2013-05-04 22:30:00 2013-05-04 23:00:00  0.5000 
LOH-5851        2013-05-04 23:00:00 2013-05-04 23:30:00  0.5000 


,cte as (
    select personnum, startdtm, enddtm, timeinhours
    from tbl
    union all
    select t.personnum, cte.startdtm, t.enddtm, cast(cte.timeinhours + t.timeinhours as decimal(10,2))
    from cte
    join tbl t on cte.personnum = t.personnum and cte.enddtm = t.startdtm
)

select * from cte order by startdtm, timeinhours option (maxrecursion 32000) -- 52 rows



personnum       startdtm            enddtm               timeinhours 
LOH-5851        2013-04-29 14:30:00 2013-04-29 18:30:00  4.0000 
LOH-5851        2013-04-29 19:00:00 2013-04-29 23:00:00  4.0000 
LOH-5851        2013-04-29 19:00:00 2013-04-30 00:00:00  5.0000 
LOH-5851        2013-04-29 19:00:00 2013-04-30 00:11:00  5.1800 
LOH-5851        2013-04-29 23:00:00 2013-04-30 00:00:00  1.0000 
LOH-5851        2013-04-29 23:00:00 2013-04-30 00:11:00  1.1800 
LOH-5851        2013-04-30 00:00:00 2013-04-30 00:11:00  0.1800 
LOH-5851        2013-04-30 14:45:00 2013-04-30 18:45:00  4.0000 
LOH-5851        2013-04-30 19:15:00 2013-04-30 23:00:00  3.7500 
LOH-5851        2013-04-30 19:15:00 2013-04-30 23:15:00  4.0000 
LOH-5851        2013-04-30 19:15:00 2013-05-01 00:00:00  4.7500 
LOH-5851        2013-04-30 19:15:00 2013-05-01 00:11:00  4.9300 
LOH-5851        2013-04-30 23:00:00 2013-04-30 23:15:00  0.2500 
LOH-5851        2013-04-30 23:00:00 2013-05-01 00:00:00  1.0000 
LOH-5851        2013-04-30 23:00:00 2013-05-01 00:11:00  1.1800 
LOH-5851        2013-04-30 23:15:00 2013-05-01 00:00:00  0.7500 
LOH-5851        2013-04-30 23:15:00 2013-05-01 00:11:00  0.9300 
LOH-5851        2013-05-01 00:00:00 2013-05-01 00:11:00  0.1800 
LOH-5851        2013-05-01 14:30:00 2013-05-01 18:30:00  4.0000 
LOH-5851        2013-05-01 19:00:00 2013-05-01 23:00:00  4.0000 
LOH-5851        2013-05-01 19:00:00 2013-05-02 00:00:00  5.0000 
LOH-5851        2013-05-01 19:00:00 2013-05-02 00:22:00  5.3700 
LOH-5851        2013-05-01 23:00:00 2013-05-02 00:00:00  1.0000 
LOH-5851        2013-05-01 23:00:00 2013-05-02 00:22:00  1.3700 
LOH-5851        2013-05-02 00:00:00 2013-05-02 00:22:00  0.3700 
LOH-5851        2013-05-02 14:30:00 2013-05-02 18:30:00  4.0000 
LOH-5851        2013-05-02 19:00:00 2013-05-02 23:00:00  4.0000 
LOH-5851        2013-05-02 19:00:00 2013-05-03 00:00:00  5.0000 
LOH-5851        2013-05-02 19:00:00 2013-05-03 00:31:00  5.5200 
LOH-5851        2013-05-02 23:00:00 2013-05-03 00:00:00  1.0000 
LOH-5851        2013-05-02 23:00:00 2013-05-03 00:31:00  1.5200 
LOH-5851        2013-05-03 00:00:00 2013-05-03 00:31:00  0.5200 
LOH-5851        2013-05-03 14:45:00 2013-05-03 17:45:00  3.0000 
LOH-5851        2013-05-03 14:45:00 2013-05-03 18:45:00  4.0000 
LOH-5851        2013-05-03 17:45:00 2013-05-03 18:45:00  1.0000 
LOH-5851        2013-05-03 19:15:00 2013-05-03 23:00:00  3.7500 
LOH-5851        2013-05-03 19:15:00 2013-05-03 23:15:00  4.0000 
LOH-5851        2013-05-03 19:15:00 2013-05-04 00:00:00  4.7500 
LOH-5851        2013-05-03 19:15:00 2013-05-04 00:15:00  5.0000 
LOH-5851        2013-05-03 23:00:00 2013-05-03 23:15:00  0.2500 
LOH-5851        2013-05-03 23:00:00 2013-05-04 00:00:00  1.0000 
LOH-5851        2013-05-03 23:00:00 2013-05-04 00:15:00  1.2500 
LOH-5851        2013-05-03 23:15:00 2013-05-04 00:00:00  0.7500 
LOH-5851        2013-05-03 23:15:00 2013-05-04 00:15:00  1.0000 
LOH-5851        2013-05-04 00:00:00 2013-05-04 00:15:00  0.2500 
LOH-5851        2013-05-04 14:00:00 2013-05-04 18:00:00  4.0000 
LOH-5851        2013-05-04 18:30:00 2013-05-04 22:30:00  4.0000 
LOH-5851        2013-05-04 18:30:00 2013-05-04 23:00:00  4.5000 
LOH-5851        2013-05-04 18:30:00 2013-05-04 23:30:00  5.0000 
LOH-5851        2013-05-04 22:30:00 2013-05-04 23:00:00  0.5000 
LOH-5851        2013-05-04 22:30:00 2013-05-04 23:30:00  1.0000 
LOH-5851        2013-05-04 23:00:00 2013-05-04 23:30:00  0.5000 



,cte2 as (
    select *, rn = row_number() over (partition by personnum, enddtm order by startdtm)
    from cte
)

select * from cte2 order by startdtm, rn -- 52 rows


personnum       startdtm            enddtm               timeinhours        rn
LOH-5851        2013-04-29 14:30:00 2013-04-29 18:30:00  4.0000             1
LOH-5851        2013-04-29 19:00:00 2013-04-29 23:00:00  4.0000             1
LOH-5851        2013-04-29 19:00:00 2013-04-30 00:00:00  5.0000             1
LOH-5851        2013-04-29 19:00:00 2013-04-30 00:11:00  5.1800             1
LOH-5851        2013-04-29 23:00:00 2013-04-30 00:11:00  1.1800             2
LOH-5851        2013-04-29 23:00:00 2013-04-30 00:00:00  1.0000             2
LOH-5851        2013-04-30 00:00:00 2013-04-30 00:11:00  0.1800             3
LOH-5851        2013-04-30 14:45:00 2013-04-30 18:45:00  4.0000             1
LOH-5851        2013-04-30 19:15:00 2013-04-30 23:00:00  3.7500             1
LOH-5851        2013-04-30 19:15:00 2013-04-30 23:15:00  4.0000             1
LOH-5851        2013-04-30 19:15:00 2013-05-01 00:11:00  4.9300             1
LOH-5851        2013-04-30 19:15:00 2013-05-01 00:00:00  4.7500             1
LOH-5851        2013-04-30 23:00:00 2013-05-01 00:00:00  1.0000             2
LOH-5851        2013-04-30 23:00:00 2013-05-01 00:11:00  1.1800             2
LOH-5851        2013-04-30 23:00:00 2013-04-30 23:15:00  0.2500             2
LOH-5851        2013-04-30 23:15:00 2013-05-01 00:11:00  0.9300             3
LOH-5851        2013-04-30 23:15:00 2013-05-01 00:00:00  0.7500             3
LOH-5851        2013-05-01 00:00:00 2013-05-01 00:11:00  0.1800             4
LOH-5851        2013-05-01 14:30:00 2013-05-01 18:30:00  4.0000             1
LOH-5851        2013-05-01 19:00:00 2013-05-01 23:00:00  4.0000             1
LOH-5851        2013-05-01 19:00:00 2013-05-02 00:00:00  5.0000             1
LOH-5851        2013-05-01 19:00:00 2013-05-02 00:22:00  5.3700             1
LOH-5851        2013-05-01 23:00:00 2013-05-02 00:22:00  1.3700             2
LOH-5851        2013-05-01 23:00:00 2013-05-02 00:00:00  1.0000             2
LOH-5851        2013-05-02 00:00:00 2013-05-02 00:22:00  0.3700             3
LOH-5851        2013-05-02 14:30:00 2013-05-02 18:30:00  4.0000             1
LOH-5851        2013-05-02 19:00:00 2013-05-02 23:00:00  4.0000             1
LOH-5851        2013-05-02 19:00:00 2013-05-03 00:00:00  5.0000             1
LOH-5851        2013-05-02 19:00:00 2013-05-03 00:31:00  5.5200             1
LOH-5851        2013-05-02 23:00:00 2013-05-03 00:31:00  1.5200             2
LOH-5851        2013-05-02 23:00:00 2013-05-03 00:00:00  1.0000             2
LOH-5851        2013-05-03 00:00:00 2013-05-03 00:31:00  0.5200             3
LOH-5851        2013-05-03 14:45:00 2013-05-03 17:45:00  3.0000             1
LOH-5851        2013-05-03 14:45:00 2013-05-03 18:45:00  4.0000             1
LOH-5851        2013-05-03 17:45:00 2013-05-03 18:45:00  1.0000             2
LOH-5851        2013-05-03 19:15:00 2013-05-03 23:00:00  3.7500             1
LOH-5851        2013-05-03 19:15:00 2013-05-03 23:15:00  4.0000             1
LOH-5851        2013-05-03 19:15:00 2013-05-04 00:00:00  4.7500             1
LOH-5851        2013-05-03 19:15:00 2013-05-04 00:15:00  5.0000             1
LOH-5851        2013-05-03 23:00:00 2013-05-04 00:15:00  1.2500             2
LOH-5851        2013-05-03 23:00:00 2013-05-04 00:00:00  1.0000             2
LOH-5851        2013-05-03 23:00:00 2013-05-03 23:15:00  0.2500             2
LOH-5851        2013-05-03 23:15:00 2013-05-04 00:00:00  0.7500             3
LOH-5851        2013-05-03 23:15:00 2013-05-04 00:15:00  1.0000             3
LOH-5851        2013-05-04 00:00:00 2013-05-04 00:15:00  0.2500             4
LOH-5851        2013-05-04 14:00:00 2013-05-04 18:00:00  4.0000             1
LOH-5851        2013-05-04 18:30:00 2013-05-04 22:30:00  4.0000             1
LOH-5851        2013-05-04 18:30:00 2013-05-04 23:00:00  4.5000             1
LOH-5851        2013-05-04 18:30:00 2013-05-04 23:30:00  5.0000             1
LOH-5851        2013-05-04 22:30:00 2013-05-04 23:30:00  1.0000             2
LOH-5851        2013-05-04 22:30:00 2013-05-04 23:00:00  0.5000             2
LOH-5851        2013-05-04 23:00:00 2013-05-04 23:30:00  0.5000             3


select personnum, startdtm, max(enddtm) enddtm, max(timeinhours) timeinhours
from cte2
where rn=1
group by personnum, startdtm
order by personnum, startdtm
option (maxrecursion 32000) -- 12 rows


personnum       startdtm            enddtm               timeinhours 
LOH-5851        2013-04-29 14:30:00 2013-04-29 18:30:00  4.0000 
LOH-5851        2013-04-29 19:00:00 2013-04-30 00:11:00  5.1800 
LOH-5851        2013-04-30 14:45:00 2013-04-30 18:45:00  4.0000 
LOH-5851        2013-04-30 19:15:00 2013-05-01 00:11:00  4.9300 
LOH-5851        2013-05-01 14:30:00 2013-05-01 18:30:00  4.0000 
LOH-5851        2013-05-01 19:00:00 2013-05-02 00:22:00  5.3700 
LOH-5851        2013-05-02 14:30:00 2013-05-02 18:30:00  4.0000 
LOH-5851        2013-05-02 19:00:00 2013-05-03 00:31:00  5.5200 
LOH-5851        2013-05-03 14:45:00 2013-05-03 18:45:00  4.0000 
LOH-5851        2013-05-03 19:15:00 2013-05-04 00:15:00  5.0000 
LOH-5851        2013-05-04 14:00:00 2013-05-04 18:00:00  4.0000 
LOH-5851        2013-05-04 18:30:00 2013-05-04 23:30:00  5.0000

该查询非常适用于少量数据，但是当针对支付期（通常是一周）的预期员工人数运行时，会出现丑陋的最大递归错误消息。

编辑编辑：请参阅 Richard 对递归问题的修复的评论。

4

1 回答 1

6

样本数据

create table tbl (person int, startdate datetime, enddate datetime, hours decimal(10,2));
insert tbl values
(5163 ,'2013-04-29 07:00:00.000' ,'2013-04-29 11:00:00.000', 4.00),
(5163 ,'2013-04-29 11:30:00.000' ,'2013-04-29 15:30:00.000', 4.00),
(5163 ,'2013-04-29 15:30:00.000' ,'2013-04-29 19:06:00.000', 3.60),
(5851 ,'2013-05-02 19:00:00.000' ,'2013-05-02 23:00:00.000', 4.00),
(5851 ,'2013-05-02 23:00:00.000' ,'2013-05-03 00:00:00.000', 1.00),
(5851 ,'2013-05-03 00:00:00.000' ,'2013-05-03 00:31:00.000', 0.52);

查询

;with cte as (
    select person, startdate, enddate, hours
    from tbl
    union all
    select t.person, cte.startdate, t.enddate, cast(cte.hours + t.hours as decimal(10,2))
    from cte
    join tbl t on cte.person = t.person and cte.enddate = t.startdate
), cte2 as (
    select *, rn = row_number() over (partition by person, enddate order by startdate)
    from cte
)
select person, startdate, max(enddate) enddate, max(hours) hours
from cte2
where rn=1
group by person, startdate
order by person, startdate;

结果

person      startdate               enddate                 hours
----------- ----------------------- ----------------------- -------
5163        2013-04-29 07:00:00.000 2013-04-29 11:00:00.000 4.00
5163        2013-04-29 11:30:00.000 2013-04-29 19:06:00.000 7.60
5851        2013-05-02 19:00:00.000 2013-05-03 00:31:00.000 5.52
于 2013-05-16T19:47:36.107 回答