多表关联查询，主要在T1表的日期在T2、Tab

drop table #Temp_1
go
drop table #Temp_2
go
drop table #Temp_3
go

create table #Temp_1(
Name varchar(200),
OutQTY numeric(18,4),
Price numeric(18,4),
moneys  numeric(18,4),
Dates  datetime
)
create table #Temp_2
(
Name varchar(200),
Price numeric(18,4),
CostQTY numeric(18,4)
)
Create table #Temp_3
(
Name varchar(200),
ProcessPrice numeric(18,4),
ProcessQTY numeric(18,4),
ProcessDate datetime
)

insert into #Temp_1
select ‘香蕉‘,10,30,300,‘2015-06-01‘union all
select ‘香蕉‘,5,35,175,‘2015-06-13‘
insert into #Temp_2
select ‘香蕉‘,5,100
insert into #Temp_3
select ‘香蕉‘,6,80,‘2015-05-10‘ union all
select ‘香蕉‘,5,40,‘2015-05-20‘ union all
select ‘香蕉‘,8,100,‘2015-06-05‘

select
distinct
t1.Name as 品名,
t1.OutQTY as 出库数量,
t1.Price as 单价,
t1.moneys as 金额,
t1.Dates as 日期,
t2.CostQTY*t2.Price as 期初成本金额,
c.P as 加工金额,
((t2.CostQTY*t2.Price)+c.P)/d.SumProcessQTY as 截至成本单价,
d.SumProcessQTY,
cast(((t2.CostQTY*t2.Price)+c.P)/(d.SumProcessQTY) as numeric(18,4))as UnCost
from #Temp_1 t1
left join  #Temp_2 t2  on t1.Name=t2.Name
left join (select distinct
cet.Dates,
cet.Name,
sum(t3.ProcessPrice* t3.ProcessQTY)as P
from  #Temp_1 cet
left join #Temp_3 t3 on cet.Name=t3.Name and cet.Dates>=t3.ProcessDate
group by cet.Dates,cet.Name
)c  on c.Name=t1.Name and c.Dates=t1.Dates

left join (select
t1.Name,t1.Dates,
sum(distinct t3.ProcessQTY)  as SumProcessQTY
from #Temp_1 t1
left join #Temp_3 t3 on t1.Name=t3.Name and t1.Dates>=t3.ProcessDate
group by t1.Name,t1.Dates)d  on d.Name=t1.Name