我创建了sql语法,根据类别
创建了按产品分组的数据透视表CREATE TABLE #Product ( Product varchar(10),Category varchar(10),Stock int)
INSERT INTO #Product Values ('Item A','CatA',10)
INSERT INTO #Product Values ('Item A','CatB',5)
INSERT INTO #Product Values ('Item B','CatA',3)
INSERT INTO #Product Values ('Item B','CatB',5)
INSERT INTO #Product Values ('Item B','CatC',7)
INSERT INTO #Product Values ('Item B','CatD',10)
SELECT *
FROM
(
SELECT Product,Category,Stock
FROM #Product A
) src
pivot
(
SUM(Stock)
for Category in ([CatA], [CatB], [CatC],[CatD])
) piv;
DROP TABLE #Product
查询结果
Product CatA CatB CatC CatD
Item A 10 5 NULL NULL
Item B 3 5 7 10
尝试实现的结果是
Product Cat1 Stock1 Cat2 Stock2 Cat3 Stock3 Cat4 Stock4
Item A CatA 10 CatB 5 CatC 0 CatD 0
Item B CatA 3 CatB 5 CatC 7 CatD 10
感谢您的帮助
答案 0 :(得分:0)
您需要先创建Product
和Category
的所有组合。然后在LEFT JOIN
上执行#Product
以获取Stock
。最后,使用结果来转动数据。
由于我不熟悉PIVOT
命令,我使用了另一种名为Dynamic Crosstab的技术
DECLARE @sql NVARCHAR(MAX) = N'';
SELECT @sql =
'SELECT
Product' + CHAR(10);
SELECT @sql = @sql +
STUFF((
SELECT
' ,MAX(CASE WHEN RN = ' + CONVERT(VARCHAR(3), t.RN) + ' THEN Category END) AS ' + QUOTENAME('Cat' + CONVERT(VARCHAR(3), t.RN)) + CHAR(10) +
' ,MAX(CASE WHEN RN = ' + CONVERT(VARCHAR(3), t.RN) + ' THEN Stock END) AS ' + QUOTENAME('Stock' + CONVERT(VARCHAR(3), t.RN)) + CHAR(10)
FROM (
SELECT DISTINCT
RN = ROW_NUMBER() OVER(PARTITION BY Product ORDER BY(SELECT NULL))
FROM #Product
) t
FOR XML PATH('')
), 1, 1, ' ');
SELECT @sql = @sql +
'FROM(
SELECT
p1.Product,
p1.Category,
Stock = ISNULL(p2.Stock, 0),
RN = ROW_NUMBER() OVER(PARTITION BY p1.Product ORDER BY p1.Category)
FROM (
SELECT
t1.Product, t2.Category
FROM (
SELECT DISTINCT Product FROM #Product
) t1
CROSS JOIN (
SELECT DISTINCT Category FROM #Product
) t2
) p1
LEFT JOIN #Product p2
ON p1.Product = p2.Product
AND p1.Category = p2.Category
)t
GROUP BY Product;';
PRINT @sql;
EXEC sp_executesql @sql;