一、前言
安装了saiku之后,每次修改schema文件,非常耗时,每次都要经历若干步骤:修改xml、上传、重启才能生效,并且非常不利于学习和理解MDX和模式文件,踌躇之际,发现了这个工具,十分小巧方便!saiku安装过程可参考上一篇博客:http://www.cnblogs.com/liqiu/p/5183894.html
二、下载
这是一个pentaho的一个工具,有很多版本,下载地址:https://sourceforge.net/projects/mondrian/files/schema%20workbench/3.11.0/
下载之后,执行里面的启动命令即可,windows执行:workbench.bat;linux执行:workbench.sh。我使用的是mac,效果如图:
三、初始化数据:
运行这款软件肯定依赖一个数据库,Mysql或者Postgresql都可以,我使用的是PostgreSql,下面是网络上搜索到的建表语句:
CREATE TABLE sale
(
saleid integer NOT NULL,
proid integer,
cusid integer,
unitprice double precision,
num integer,
CONSTRAINT sale_pkey PRIMARY KEY (saleid)
);
CREATE TABLE customer
(
cusid integer NOT NULL,
gender character(1),
CONSTRAINT customer_pkey PRIMARY KEY (cusid)
);
CREATE TABLE product
(
proid integer NOT NULL,
protypeid integer,
proname character varying(32),
CONSTRAINT product_pkey PRIMARY KEY (proid)
);
CREATE TABLE producttype
(
protypeid integer NOT NULL,
protypename character varying(32),
CONSTRAINT producttype_pkey PRIMARY KEY (protypeid)
);
insert into Customer(cusId,gender) values(1,'F')
insert into Customer(cusId,gender) values(2,'M')
insert into Customer(cusId,gender) values(3,'M')
insert into Customer(cusId,gender) values(4,'F')
insert into producttype(proTypeId,proTypeName)values(1,'电器')
insert into producttype(proTypeId,proTypeName)values(2,'数码')
insert into producttype(proTypeId,proTypeName)values(3,'家具')
insert into product(proId,proTypeId,proName)values(1,1,'洗衣机')
insert into product(proId,proTypeId,proName)values(2,1,'电视机')
insert into product(proId,proTypeId,proName)values(3,2,'mp3')
insert into product(proId,proTypeId,proName)values(4,2,'mp4')
insert into product(proId,proTypeId,proName) values(5,2,'数码相机')
insert into product(proId,proTypeId,proName)values(6,3,'椅子')
insert into product(proId,proTypeId,proName)values(7,3,'桌子')
insert into sale(saleId,proId,cusId,unitPrice,number)values(1,1,1,340.34,2)
insert into sale(saleId,proId,cusId,unitPrice,number)values(2,1,2,140.34,1)
insert into sale(saleId,proId,cusId,unitPrice,number)values(3,2,3,240.34,3)
insert into sale(saleId,proId,cusId,unitPrice,number)values(4,3,4,540.34,4)
insert into sale(saleId,proId,cusId,unitPrice,number)values(5,4,1,80.34,5)
insert into sale(saleId,proId,cusId,unitPrice,number)values(6,5,2,90.34,26)
insert into sale(saleId,proId,cusId,unitPrice,number)values(7,6,3,140.34,7)
insert into sale(saleId,proId,cusId,unitPrice,number)values(8,7,4,640.34,28)
insert into sale(saleId,proId,cusId,unitPrice,number)values(9,6,1,140.34,29)
insert into sale(saleId,proId,cusId,unitPrice,number)values(10,7,2,740.34,29)
insert into sale(saleId,proId,cusId,unitPrice,number)values(11,5,3,30.34,28)
insert into sale(saleId,proId,cusId,unitPrice,number)values(12,4,4,1240.34,72)
insert into sale(saleId,proId,cusId,unitPrice,number)values(13,3,1,314.34,27)
insert into sale(saleId,proId,cusId,unitPrice,number)values(14,3,2,45.34,27)
4、配置数据源
点击下面右下脚的图标:
配置数据库链接:
我选择的是PostgreSql,确认即可
5、核心步骤,创建schema
5.1 创建空的schema
5.2 修改schema名称,命名是:qiu-schema
5.3 添加立方体
命名是:qiu-cube
5.4 在立方体里面添加事实表
5.5 在立方体里面添加维度:qiuDimension
5.6 在维度下面,添加层次。其实不需要添加,他会默认添加一下,点击qiuDimension左侧的小图标即可
5.7 在qiu-Hierarchy下面添加维度表,咱们选择的是customer
5.8 继续添加一个层次:qiuLevel
到这里最困难的都已经完成了
5.9 添加度量
到这里一个简单的模式文件就建成了,点击最右侧的带有铅笔样式的图标即可看见xml文件:
<Schema name="qiu-schema">
<Cube name="qiu-cube" visible="true" cache="true" enabled="true">
<Table name="sale" schema="public" alias="">
</Table>
<Dimension type="StandardDimension" visible="true" foreignKey="cusid" name="qiuDimension">
<Hierarchy name="qiuHierarchy" visible="true" hasAll="true" allMemberName="allCustomer" allMemberCaption="所有名称">
<Table name="customer" schema="public" alias="">
</Table>
<Level name="qiuLevel" visible="true" column="gender" type="String" uniqueMembers="false" levelType="Regular" hideMemberIf="Never">
</Level>
</Hierarchy>
</Dimension>
<Measure name="qiuMeasure" column="num" datatype="Numeric" aggregator="sum" visible="true">
</Measure>
</Cube>
</Schema>
如果上面有遗漏的部分,把这个xml文件替换进去,重新点击铅笔样式的图标即可充新生成
6、添加MDX语句,测试模式文件
选择File,在选择MDX Query,即可创建查询对话框,插入如下语句:
select
{[Measures].qiuMeasure}
on columns,
{([qiuDimension].[allCustomer])}
on rows
from [qiu-cube]
效果如图: