Question

我选择如下：

SELECT SUBSTRING(Col1, 1, 3)          AS 'Series',
       b.Col2,
       CAST(c.Price * c.Qty AS MONEY) AS Total
FROM   tableName a
inner join ....
...
WHERE  DATE BETWEEN '1/1/2012' AND '1/31/2012'
       AND B IN ( 'C50', 'C51', 'C52', 'C53', 'C54' )
GROUP  BY Col1,
          b.Col2,
          c.Price,
          c.Qty

返回此结果集：

Series       Col2        Total
----------   ----------  ----------
105          C50         5.00
105          C50         15.00
105          C53         20.00
105          C53         20.00
105          C53         20.00

这就是我希望它的工作方式：

Series       C50         C53
----------   ----------  ----------
105          20.00       60.00

不确定如何进行内部选择以获得该结果。有什么想法吗？

Answer 1

请尝试以下代码。你必须使用PIVOT查询。

create table TableName (Series varchar(20),col2 varchar(10), price decimal(8,2))

insert into TableName values ('105','C50',30)
insert into TableName values ('105','C50',10)

insert into TableName values ('105','C53',20)
insert into TableName values ('105','C53',30)


SELECT Series,
       [C50],
       [C53]
FROM   (SELECT Series,
               col2,
               price
        FROM   TableName) AS SourceTable 
                   PIVOT ( SUM(price) FOR col2 IN ([C50],
                                                   [C53])
       ) AS PivotTable;

Answer 2

对于col2的潜在空值，请尝试以下代码。

注意：您可能需要调整@PIV_COL大小，具体取决于col2的不同记录数。我使用'NO_VAL'作为col2的潜在NULL值。

insert into TableName  values ('105',NULL,100)


DECLARE @PIV_COL VARCHAR(100)

SELECT @PIV_COL = STUFF(
(
    SELECT DISTINCT ',[' + ISNULL(COL2,'NO_VAL') + ']'
    FROM TableName  C   
    FOR XML PATH('')
), 1, 1, '') 


EXEC
('
    SELECT Series,' + @PIV_COL + '
    FROM   (
                SELECT Series,
                   ISNULL(COL2,''NO_VAL'') col2,
                   price
            FROM   TableName ) AS SourceTable 
                       PIVOT ( SUM(price) FOR col2 IN ('+ @PIV_COL + ')
    ) AS PivotTable
')

具有基于分组的返回列的SQL查询

2 个答案: