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  • Informatical 行列转换

    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:

    createtablesales2(storenamevarchar(20),

    salesnumber(9),quarternumber(9))

    select*fromsales2

    SOLUTION:

    SELECTSTORENAME,

    MAX(CASEWHENQUARTER=1THENSALESELSE0END)QUARTER1,

    MAX(CASEWHENQUARTER=2THENSALESELSE0END)QUARTER2,

    MAX(CASEWHENQUARTER=3THENSALESELSE0END)QUARTER3,

    MAX(CASEWHENQUARTER=4THENSALESELSE0END)QUARTER4

    FROMSALES2

    GROUPBYSTORENAME

    ORDERBYSTORENAME

    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。

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  • 原文地址:https://www.cnblogs.com/jerryxing/p/3054262.html
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