这种类型的数据转换称为PIVOT。您可以通过多种方式执行此操作。您可以使用PIVOT 函数,也可以使用带有CASE 语句的聚合函数:
Static Pivot 版本:这是您将所有值硬编码到查询中的地方
select ItemCode, [2011], [2012]
from
(
SELECT ItemCode,
QUANTITY,
YEAR(DocDate) Year
FROM MyTable
) src
pivot
(
sum(quantity)
for year in ([2011], [2012])
) piv
见SQL Fiddle with Demo
聚合案例:
SELECT ItemCode,
SUM(CASE WHEN YEAR(DocDate) = 2011 THEN QUANTITY ELSE 0 END) AS '2011',
SUM(CASE WHEN YEAR(DocDate) = 2012 THEN QUANTITY ELSE 0 END) AS '2012'
FROM MyTable
GROUP BY ItemCode;
见SQL Fiddle with Demo
Dynamic Pivot:如果您有已知数量的 year 值要转换,前两个版本会很好用,但如果您有未知数量,则可以使用动态 sql: p>
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT distinct ',' + QUOTENAME(YEAR(DocDate))
from mytable
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT itemcode, ' + @cols + ' from
(
select itemcode, quantity, year(docdate) year
from mytable
) x
pivot
(
sum(quantity)
for year in (' + @cols + ')
) p '
execute(@query)
见SQL Fiddle with Demo
所有三个版本都会产生相同的结果:
| ITEMCODE | 2011 | 2012 |
--------------------------
| 1 | 200 | 45 |
| 2 | 89 | 0 |
| 3 | 0 | 7 |