参考了一下这篇文章:https://blog.csdn.net/xichenguan/article/details/51764100 , 感谢原作者
有两个表,分别存放了【操作员】和【单据】,要根据单据的不同类型来分类汇总(销售单、销售退货单,笔数和金额),并且显示在同一张表里,不想用做两次查询再合并的方法,研究了一下,终于搞定:
d_employee表
d_bilndx表
代码如下:
select b.inputid as 开单员编号,
e.fullname as 开单员,
isnull( ( select count(*)
from d_bilndx
where draft=3 and biltype=12 and d_bilndx.inputid=e.id
), 0) as '销售开单笔数',
isnull( ( select sum(d_bilndx.amount)
from d_bilndx
where draft=3 and biltype=12 and d_bilndx.inputid=e.id
), 0) as '销售开单金额',
isnull( ( select count(*)
from d_bilndx
where draft=3 and biltype=13 and d_bilndx.inputid=e.id
), 0) as '销售退单笔数',
isnull( ( select sum(d_bilndx.amount)
from d_bilndx
where draft=3 and biltype=13 and d_bilndx.inputid=e.id
), 0) as '销售退单金额',
count(b.biltype) as 开单总笔数,
sum(b.Amount) as 开单金额
from d_bilndx as b
left join d_employee as e
on b.inputid=e.id
where b.draft=3 and ( b.biltype=12 or b.biltype=13 )
group by b.inputid, e.fullname, e.id
得到结果:
补记:以上代码有一个问题,就是如果没有符合条件的单据,查到的结果为空,而我们可能希望,查不到符合条件的记录,相关字段要显示为0,改写代码如下:
select e1.id as ePersonCode, e1.FullName as eFullName,
isnull(Bill_Sale_NUm, 0) as Bill_Sale_Num,
isnull(Bill_Sale_Amount, 0) as Bill_Sale_Amount,
isnull(Bill_SaleReturn_Num, 0) as Bill_SaleReturn_Num,
isnull(Bill_SaleReturn_Amount, 0) as Bill_SaleReturn_Amount
from d_employee as e1
left join (
select b.inputid as ePersonCode,
e.fullname as eFullName,
isnull( ( select count(*)
from d_bilndx
where draft=3 and biltype=12 and d_bilndx.inputid=e.id
), 0) as Bill_Sale_Num,
isnull( ( select sum(d_bilndx.amount)
from d_bilndx
where draft=3 and biltype=12 and d_bilndx.inputid=e.id
), 0) as Bill_Sale_Amount,
isnull( ( select count(*)
from d_bilndx
where draft=3 and biltype=13 and d_bilndx.inputid=e.id
), 0) as Bill_SaleReturn_Num,
isnull( ( select sum(d_bilndx.amount)
from d_bilndx
where draft=3 and biltype=13 and d_bilndx.inputid=e.id
), 0) as Bill_SaleReturn_Amount,
count(b.biltype) as Bill_Total_Num
from d_employee as e
left join d_bilndx as b
on b.inputid=e.id
where (b.draft=3 or b.draft=2) and ( b.biltype=12 or b.biltype=13 ) and ( b.date>='2018-05-31' and b.date<='2018-05-31' )
group by b.inputid, e.fullname, e.id
) as t1
on e1.id = t1.ePersonCode
where e1.id<>'00000'
得到结果如下: