将Access TRANSFORM/PIVOT查询转换为SQL Server [英] Convert Access TRANSFORM/PIVOT query to SQL Server
问题描述
TRANSFORM Avg(CASE WHEN [temp].[sumUnits] > 0
THEN [temp].[SumAvgRent] / [temp].[sumUnits]
ELSE 0
END) AS Expr1
SELECT [temp].[Description]
FROM [temp]
GROUP BY [temp].[Description]
PIVOT [temp].[Period];
需要将该查询转换为sql服务器
Need to convert this query for sql server
我已经阅读了所有其他帖子,但无法将其转换为相同的内容
I have read all other posts but unable to convert this into the same
推荐答案
Here is the equivalent version using the PIVOT
table operator:
SELECT *
FROM
(
SELECT
CASE
WHEN sumUnits > 0
THEN SumAvgRent / sumUnits ELSE 0
END AS Expr1,
Description,
Period
FROM temp
) t
PIVOT
(
AVG(Expr1)
FOR Period IN(Period1, Period2, Period3)
) p;
SQL小提琴演示
例如,这将为您提供:
SQL Fiddle Demo
For instance, this will give you:
| DESCRIPTION | PERIOD1 | PERIOD2 | PERIOD3 |
---------------------------------------------
| D1 | 10 | 0 | 20 |
| D2 | 100 | 1000 | 0 |
| D3 | 50 | 10 | 2 |
请注意:使用MS SQL Server PIVOT
表运算符时,必须输入数据透视列的值.但是,在MS Access中,这是TRANSFORM
和PIVOT
一起完成的工作,它是动态获取透视列的值.在这种情况下,您必须使用PIVOT
运算符动态地执行此操作,如下所示:
Note that When using the MS SQL Server PIVOT
table operator, you have to enter the values for the pivoted column. However, IN MS Access, This was the work that TRANSFORM
with PIVOT
do, which is getting the values of the pivoted column dynamically. In this case you have to do this dynamically with the PIVOT
operator, like so:
DECLARE @cols AS NVARCHAR(MAX);
DECLARE @query AS NVARCHAR(MAX);
SELECT @cols = STUFF((SELECT distinct
',' +
QUOTENAME(Period)
FROM temp
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'');
SET @query = ' SELECT Description, ' + @cols + '
FROM
(
SELECT
CASE
WHEN sumUnits > 0
THEN SumAvgRent / sumUnits ELSE 0
END AS Expr1,
Description,
Period
FROM temp
) t
PIVOT
(
AVG(Expr1)
FOR Period IN( ' + @cols + ')
) p ';
Execute(@query);
更新了SQL Fiddle演示
这应该给您相同的结果:
Updated SQL Fiddle Demo
This should give you the same result:
| DESCRIPTION | PERIOD1 | PERIOD2 | PERIOD3 |
---------------------------------------------
| D1 | 10 | 0 | 20 |
| D2 | 100 | 1000 | 0 |
| D3 | 50 | 10 | 2 |
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