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: