以前在做DBA时在DB里写过行转列，列转行的CODE.这两天做了一下测试用INFORMATICA来实现行列互换的功能。
列转行的SQL 实现
ENV: RMDB
TABLE： SALES
STORENAME QUARTER1 QUARTER2 QUARTER3 QUARTER4
STORE1 100 300 500 700
STORE2 200 400 600 800
SOLUTION：
SELECT STORENAME,QUARTER1 AS SALES, 1 AS QUARTER
FROM SALES
GROUP BY STORENAME,QUARTER1
UNION
SELECT STORENAME,QUARTER2 AS SALES, 2 AS QUARTER
FROM SALES
GROUP BY STORENAME,QUARTER2
UNION
SELECT STORENAME,QUARTER3 AS SALES, 3 AS QUARTER
FROM SALES
GROUP BY STORENAME,QUARTER3
UNION
SELECT STORENAME,QUARTER4 AS SALES, 4 AS QUARTER
FROM SALES
GROUP BY STORENAME,QUARTER4
列转行的INFORMATICA 实现
1 SOURCE TABLES 导入MAPING
2 SQLQUALIFER 读取数据
3 NORMALIZER 实现对应的列行转换，在NORMALIZER属性里设置STORENAME,QUARTER DATA(为LEVEL 1，每季度的销售值SALES为LEVEL2. QUARTER DATA的OCCURS值设为4就可实现列行转换
二 行转列的SQL 实现
ENV:
create table sales2(storename varchar(20),
sales number(9),quarter number(9))
select * from sales2
SOLUTION:
SELECT STORENAME,
MAX(CASE WHEN QUARTER=1 THEN SALES ELSE 0 END) QUARTER1,
MAX(CASE WHEN QUARTER=2 THEN SALES ELSE 0 END) QUARTER2,
MAX(CASE WHEN QUARTER=3 THEN SALES ELSE 0 END) QUARTER3,
MAX(CASE WHEN QUARTER=4 THEN SALES ELSE 0 END) QUARTER4
FROM SALES2
GROUP BY STORENAME
ORDER BY STORENAME
INFORMATICA 实现
1 导入源表SALES2
2 SQLQULIFER读取数据
3 用EXPERSSION TRANSFORMATION 来判断QUARTER值来取SALES值
4 用聚合函数来取出判断后的最大值，即真正的SALES值
5 导入到目标表或目标文件后即实现了行转列的功能。