Question

我正在使用sqlserver，它有以下表格，

id    companyname     credited      used
----------------------------------------
1       ABC             100          0
2       ABC             10           0
3       BBB              0           10
4       BBB              0           10
5       BBB             100           0
6       BBB             10            0

我的预期输出如下

id    companyname     credited      used      sum_credited    sum_used
--------------------------------------------------------------------------
1       ABC             100          0         110              0
2       ABC             10           0         110              0
3       BBB              0           10         0               20
4       BBB              0           10         0               20
5       BBB             100           0        110              0
6       BBB             10            0        110              0

我使用了下面的查询，其中我没有得到所谓的输出

SELECT id,companyname,Credited,Used, SUM(credited) 'Sum_Credited'  
FROM tmptichistory1 
GROUP BY id,companyname,Credited,Used

我想找到贷记和使用值的总和，并将其显示在原始值的不同列中，如第一个表中所述。任何帮助都很明显。

Answer 1

sum group by companyname;

错误（感谢@bluefeet）已更正为CASE here is fiddle：

;with cte as
(
  select companyname, sum(credited) sum_credited, sum(used) sum_used
  from tmptichistory1
  group by companyname
)
select t1.id, t1.companyname, t1.credited, t1.used, 
 case t1.credited when 0 then 0 else cte.sum_credited end sum_credited,
 case t1.used when 0 then 0 else cte.sum_used end sum_used
from tmptichistory1 t1 join cte
on t1.companyname = cte.companyname

Answer 2

SELECT t1.id,
       t2.companyname,
       t1.credited,
       t1.used,
       t2.sum_credited,
       t2.sum_used
  FROM yourTable t1
  INNER JOIN
  (
      SELECT companyname, SUM( credited)  sum_credited , SUM(used) sum_used
        FROM yourTable 
       WHERE credited = 0
       GROUP BY companyname
      UNION
      SELECT companyname, SUM( credited)  sum_credited , SUM(used) sum_used
        FROM yourTable 
       WHERE used = 0
       GROUP BY companyname
  ) t2 ON t1.companyname = t2.companyname
  WHERE (t1.used = 0 AND t2.sum_used = 0) OR (t1.credited = 0 AND t2.sum_credited = 0)

Answer 3

试试这个可能对你有帮助..

select e1.Id,e1.CompanyNmae, e1.credited, e1.used,e2.SumCredited,e2.SumUsed  
from Example e1
inner join (select CompanyNmae, sum(credited) as SumCredited, sum(used) as SumUsed 
     from Example group by CompanyNmae) as e2
  on e1.CompanyNmae=e2.CompanyNmae

Answer 4

如果您使用的是2008或更高版本，则可以使用以下分析函数：

select 
id,
companyname,
credited,
used,
sum(credited) over (partition by companyname) sum_credited,
sum(used) over (partition by companyname) sum_used

from
tmptichistory1

但是当我针对你的数据运行它时，我得到以下输出：

+----+-------------+----------+------+--------------+----------+
| id | companyname | credited | used | sum_credited | sum_used |
+----+-------------+----------+------+--------------+----------+
|  1 | ABC         |      100 |    0 |          110 |        0 |
|  2 | ABC         |       10 |    0 |          110 |        0 |
|  3 | BBB         |        0 |   10 |          110 |       20 |
|  4 | BBB         |        0 |   10 |          110 |       20 |
|  5 | BBB         |      100 |    0 |          110 |       20 |
|  6 | BBB         |       10 |    0 |          110 |       20 |
+----+-------------+----------+------+--------------+----------+

...所以我认为id = 5和id = 6的行应该是不同的公司名称？如果我们说公司名称CCC，那么我们得到以下输出：

+----+-------------+----------+------+--------------+----------+
| id | companyname | credited | used | sum_credited | sum_used |
+----+-------------+----------+------+--------------+----------+
|  1 | ABC         |      100 |    0 |          110 |        0 |
|  2 | ABC         |       10 |    0 |          110 |        0 |
|  3 | BBB         |        0 |   10 |            0 |       20 |
|  4 | BBB         |        0 |   10 |            0 |       20 |
|  5 | CCC         |      100 |    0 |          110 |        0 |
|  6 | CCC         |       10 |    0 |          110 |        0 |
+----+-------------+----------+------+--------------+----------+

看起来更像你的例子。

使用sqlserver的行总和

4 个答案: