根据包含多日值的记录创建每日日志

如何解决根据包含多日值的记录创建每日日志

这是此问题的扩展： Break down long multi day periods of time into several single day periods是使用Tallies解决问题的地方。

我现在要处理的情况是，我有一个这样的表：

OutageID     ServerOutageStartDateTime      OutageLength (hrs)
1            2020/07/05 17:00               12
2            2020/07/15 11:00               3
3            2020/07/15 19:00               2
4            2020/07/22 14:00               72

目标是在一段时间内（例如7月）创建每日停机报告，如下所示：

Date                OutageLength (hrs)
2020/07/01               0
2020/07/02               0
2020/07/03               0
2020/07/04               0
2020/07/05               7
2020/07/06               5
2020/07/07               0
...
2020/07/15               5
...
2020/07/22               10
2020/07/23               24
2020/07/24               24
2020/07/22               14
2020/07/23               0
...

谢谢。

P.S 我刚刚看到了另一个问题： Convert Date Range to Individual Days

我将对其进行审核，但在此期间，请随时提供帮助！

解决方法

我们去蛮力将数据分成几个小时。 。 。然后汇总：

with hours as (
      select convert(datetime,'2020-07-01') as dteh
      union all
      select dateadd(hour,1,dteh)
      from hours h
      where dateadd(hour,dteh) < '2020-08-01'
     )
select convert(date,dteh),count(*) as num_hours
from hours h left join
     outages o
     on o.ServerOutageStartDateTime <= h.dteh and
        dateadd(hour,o.OutageLength,o.ServerOutageStartDateTime) > h.dteh 
group by convert(date,order by convert(date,dteh)
option (maxrecursion 0);

,

此解决方案还使用计数表。在这种情况下，它使用称为fnTally的理货TVF。

Tally TVF（不带嵌入式注释（请参阅链接））

CREATE FUNCTION [dbo].[fnTally]
        (@ZeroOrOne BIT,@MaxN BIGINT)
RETURNS TABLE WITH SCHEMABINDING AS 
 RETURN WITH
  H2(N) AS ( SELECT 1 
               FROM (VALUES
                     (1),(1),(1)
                    )V(N))            --16^2 or 256 rows,H4(N) AS (SELECT 1 FROM H2 a,H2 b) --16^4 or 65,536 rows,H8(N) AS (SELECT 1 FROM H4 a,H4 b) --16^8 or 4,294,967,296 rows
            SELECT N = 0 WHERE @ZeroOrOne = 0 UNION ALL
            SELECT TOP(@MaxN)
                   N = ROW_NUMBER() OVER (ORDER BY N)
              FROM H8
;
GO

数据

drop table if exists #tTEST;
go
select * INTO #tTEST from (values 
(1,cast('2020/07/05 17:00' as datetime),12),(2,'2020/07/15 11:00',3),(3,'2020/07/15 19:00',2),(4,'2020/07/22 14:00',72)) V(OutageID,ServerOutageStartDateTime,OutageLength);

查询

declare @month_dt       datetime='2020-07-01';

;with
month_hrs_cte as (
    select dateadd(hour,f.N,@month_dt) CalDtm
    from fnTally(0,datediff(d,@month_dt,eomonth(@month_dt))*24) f),outage_hrs_cte as (
    select OutageID,dateadd(hh,o.ServerOutageStartDateTime) CalDtm
    from #tTEST o
         cross apply
         fnTally(0,o.OutageLength) f)
select convert(date,mhc.CalDtm) CalDt,count(distinct ohc.CalDtm) OutageLength
from month_hrs_cte mhc
     left join
     outage_hrs_cte ohc on mhc.CalDtm=ohc.CalDtm
group by convert(date,mhc.CalDtm);

结果

CalDt   OutageLength
2020-07-01  0
2020-07-02  0
2020-07-03  0
2020-07-04  0
2020-07-05  7
2020-07-06  6
2020-07-07  0
2020-07-08  0
2020-07-09  0
2020-07-10  0
2020-07-11  0
2020-07-12  0
2020-07-13  0
2020-07-14  0
2020-07-15  7
2020-07-16  0
2020-07-17  0
2020-07-18  0
2020-07-19  0
2020-07-20  0
2020-07-21  0
2020-07-22  10
2020-07-23  24
2020-07-24  24
2020-07-25  15
2020-07-26  0
2020-07-27  0
2020-07-28  0
2020-07-29  0
2020-07-30  0
2020-07-31  0