如何在此查询中避免相同的时间？

Question

我的桌子:Trnevents

emp_reader_id   EVENTID     DT
102                0    2018-01-04 15:57:04.000
102                0    2018-01-04 15:58:05.000
102                1    2018-01-04 16:46:19.000
102                0    2018-01-04 18:15:27.000
102                1    2018-01-04 18:20:47.000
102                0    2018-01-04 20:02:05.000
102                0    2018-01-04 21:47:29.000
102                1    2018-01-04 22:00:00.000

我使用这个查询它运作良好,但它得到相同的时间

select
       emp_Reader_id, cast(DT as date) [date]
     ,  DT  as       check_in_1
     ,  next_timestamp as check_out_1


from (
      select
            emp_Reader_id, DT, EVENTID, next_timestamp, next_EVENTID
          , dense_rank() over(partition by emp_Reader_id, cast(DT as date) order by DT) in_rank
      from trnevents t1
      outer apply (
          select top(1) t2.DT, t2.EVENTID
          from trnevents t2
          where t1.emp_Reader_id = t2.emp_Reader_id and t1.EVENTID <> t2.EVENTID
          and cast(t1.DT as date) = cast(t2.DT as date)
          and t1.DT < t2.DT
          order by t2.DT
          ) oa (next_timestamp, next_EVENTID)
      where EVENTID = '0'
     ) d
group by emp_Reader_id, cast(DT as date),DT,next_timestamp
order by emp_reader_id

结果:

emp_Reader_id   date    check_in_1  check_out_1
     102    2018-01-04  2018-01-04 15:57:04.000 2018-01-04 16:46:19.000
     102    2018-01-04  2018-01-04 15:58:05.000 2018-01-04 16:46:19.000
     102    2018-01-04  2018-01-04 18:15:27.000 2018-01-04 18:20:47.000
     102    2018-01-04  2018-01-04 20:02:05.000 2018-01-04 22:00:00.000
     102    2018-01-04  2018-01-04 21:47:29.000 2018-01-04 22:00:00.000

预期产出:

emp_Reader_id   date    check_in_1  check_out_1
         102    2018-01-04  2018-01-04 15:57:04.000      ----
         102    2018-01-04  2018-01-04 15:58:05.000 2018-01-04 16:46:19.000
         102    2018-01-04  2018-01-04 18:15:27.000 2018-01-04 18:20:47.000
         102    2018-01-04  2018-01-04 20:02:05.000      ----
         102    2018-01-04  2018-01-04 21:47:29.000 2018-01-04 22:00:00.000

是否有可能超过预期的产量.任何人都可以提供帮助.提前致谢

Answer 1

此查询适用于SQL 2012或更高版本

样本数据

create table Trnevents (
    emp_reader_id int
    , EVENTID int
    , DT datetime
)

insert into Trnevents
select
        a, b, cast(c as datetime)
    from
        (values 
            (102, 0, '20180104 15:57:04')
            ,(102, 0, '20180104 15:58:05')
            ,(102, 1, '20180104 16:46:19')
            ,(102, 0, '20180104 18:15:27')
            ,(102, 1, '20180104 18:20:47')
            ,(102, 0, '20180104 20:02:05')
            ,(102, 0, '20180104 21:47:29')
            ,(102, 1, '20180104 22:00:00')
        ) t (a, b, c)

查询:

select
    emp_reader_id, cast(max(DT) as date), max(iif(EVENTID = 0, DT, null)), max(iif(EVENTID = 1, DT, null))
from (
    select
        *, grp = sum(iif(EVENTID = 0, 1, 0) ) over (partition by emp_reader_id order by DT)
    from
        Trnevents
) t
group by emp_reader_id, grp