总结sql日期范围内的价格[关闭]

Question

我有一个看起来像这样的 sql 表

PricelistID periodID   periodstart        periodend         price
1           1          2011/05/01         2011/05/31        50
1           2          2011/06/01         2011/06/30        70
1           3          2011/07/15         2011/07/31        80
2           4          2011/05/01         2011/05/31        100
2           5          2011/06/01         2011/06/30        110
2           6          2011/07/01         2011/07/31        120

如上所示，我为一个周期内的每一天定义了周期和相应的每日价格（包括 periodstart，包括 periodend）。

现在我想查找 2011/05/20（包括）- 2011/05/27（不包括）期间的总价

必须满足两个陈述

a) 如果 periodend 之间有间隔！！和周期开始！！对于搜索周期 2011/05/20 - 2011/05/27，不应返回任何结果。或者在 2011/05/20 - 2011/05/27 期间内的每一天都有不同的表述，应该在一个或多个日期范围内 periodstart - peroidend 在 sql 表中定义

b) 没有循环

结果集应该是这样的

PricelistID   total

    1             350
    2             700

谢谢

Answer 1

这是一个可行的解决方案。

您只需为日期创建一个递归 CTE 就可以了...

declare @startDate date = '2011-05-20'
        ,@endDate date = '2011-05-27'

;with testData(PricelistID,periodID,periodstart,periodend,price)
as
(
select 1, 1, cast('2011/05/01' as date), cast('2011/05/31' as date), 50
union all
select 1, 2, cast('2011/06/01' as date), cast('2011/06/30' as date), 70
union all
select 1, 3, cast('2011/07/15' as date), cast('2011/07/31' as date), 80
union all
select 2, 4, cast('2011/05/01' as date), cast('2011/05/31' as date), 100
union all
select 2, 5, cast('2011/06/01' as date), cast('2011/06/30' as date), 110
union all
select 2, 6, cast('2011/07/01' as date), cast('2011/07/31' as date), 120
)
,dates(d)
as
(
select @startDate
union all
select  dateadd(day, 1, d)
from    dates
where   d < dateadd(day, -1, @endDate)
)
select  td.pricelistid
        ,sum(td.price) as total
from    testData td
join    dates
    on  dates.d >= td.periodstart
    and dates.d <= td.periodend
group by
    td.pricelistid

Answer 2

只有一个循环：

-- tables
create table #prices (
PricelistID int,
periodID   int,
periodstart        datetime,
periodend         datetime,
price int)


create table #interval_price (
PricelistID int,
price int,
period datetime
)

create table #test_gaps (
PricelistID int,
times int
)


-- inserts
insert into #prices values (1,1,convert(datetime, '2011/05/01', 111), convert(datetime, '2011/05/31', 111),50)
insert into #prices values (1,2,convert(datetime, '2011/06/01', 111), convert(datetime, '2011/06/30', 111),70)
insert into #prices values (1,3,convert(datetime, '2011/07/15', 111), convert(datetime, '2011/07/31', 111),80)
insert into #prices values (2,4,convert(datetime, '2011/05/01', 111), convert(datetime, '2011/05/31', 111),100)
insert into #prices values (2,5,convert(datetime, '2011/06/01', 111), convert(datetime, '2011/06/30', 111),110)
insert into #prices values (2,6,convert(datetime, '2011/07/01', 111), convert(datetime, '2011/07/31', 111),120)


-- variables
declare @periodStart datetime, @periodEnd datetime
select @periodStart = convert(datetime, '20110520', 112)
select @periodEnd = convert(datetime, '20110527', 112)



declare @period datetime
select @period = @periodStart

declare @price int, @PriceListID int



while (@period < @periodEnd)
begin   
   select @price = NULL, @PriceListID = NULL

   insert into #interval_price select PricelistID, price, @period from #prices where @period >= periodstart and @period < periodend

   select @period = dateadd(dd, 1, @period)
end

insert into #test_gaps select PriceListID, count(price) from #interval_price group by PricelistID



if (select count(distinct times) from #test_gaps) = 1
begin
  if (select distinct times from #test_gaps) = (select datediff(dd,@periodStart , @periodEnd ))
    begin
      select PriceListID, sum(price) [total] from #interval_price group by PricelistID
    end
end

drop table #prices
drop table #interval_price