休日を除く 2 つの日付間の営業日数を取得する SQL Server クエリ

create table MyTable
(
 start_date date not null,
 end_date date not null,
 code int not null
)
GO

create table HolidayDates
(
   holydayDate date not null,
   holydayDescription varchar(100) not null
)
GO

insert into MyTable
values
 ('2018-12-25','2019-01-01',101)
,('2018-12-01','2019-01-31',102)
,('2018-12-24','2019-01-02',103)
GO

insert into HolidayDates
values
 ('2018-12-25', 'xmas')
,('2019-01-01', 'Reveillon')
GO

以下のクエリでは、列がどのように計算されるかを確認できます。

[休日 (週末ではない)]: テーブルからすべての祝祭日を取得しても、週末ではありません (したがって、2 回カウントされません)。

週末: 期間中の週末を取得します。

列の残りの部分は一目瞭然です

免責事項 、これを少し単純化できます。これは、使用方法のクエリの例にすぎません

DATEPART

DATEDIFF

DATNAME

select 
  datediff(day, mt.start_date, mt.end_date) as [total days], 
  (
    select 
      count(*) 
    from 
      HolidayDates hd 
    where 
      hd.holydayDate between mt.start_date 
      and mt.end_date 
      and DATEPART(WEEKDAY, hd.holydayDate) between 2 
      and 6
  ) as [holydays (not weekends) ], 
  (
    select 
      (
        datediff(wk, mt.start_date, mt.end_date) * 2
      ) +(
        case when datename(dw, mt.start_date) = 'sunday' then 1 else 0 end
      ) +(
        case when datename(dw, mt.end_date) = 'saturday' then 1 else 0 end
      )
  ) as weekends, 
  case when datediff(day, mt.start_date, mt.end_date) -(
    select 
      (
        datediff(wk, mt.start_date, mt.end_date) * 2
      ) +(
        case when datename(dw, mt.start_date) = 'sunday' then 1 else 0 end
      ) +(
        case when datename(dw, mt.end_date) = 'saturday' then 1 else 0 end
      )
  ) -(
    select 
      count(*) 
    from 
      HolidayDates hd 
    where 
      hd.holydayDate between mt.start_date 
      and mt.end_date 
      and DATEPART(WEEKDAY, hd.holydayDate) between 2 
      and 6
  ) > 3 then 0 --> this need to exclude weekend and holidays
  when mt.code = 1 then 1 when mt.code = 2 then 2 else 3 end as mycolumn 
from 
  MyTable mt

返品

total days  holydays (not weekends) weekends    mycolumn
----------- ----------------------- ----------- -----------
7           2                       2           3
61          2                       18          0
9           2                       2           0

(3 row(s) affected)