informatica powercenter学习笔记（三）

　　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。