使用google的gson转换，在线验证可用，例子来自saiku-foodmart。
PS：此文档是倒着写的，所以应先看2再看1…
1.首先是cube和共享维度：
PS：相关代码在com.xxx.schema包下
以Cube：Sales 2为例，此cube包含以上内容，每个cube封装为一条JSON
完整版见 附录2。
格式化后的(节选)：
{
"cubeName":
"Sales 2",
"cuniqueName":
"[Sales 2]",
"ccaption": "Sales
2", //此三项的含义同2中的注释
"dimensions": [ //此cube中包含的维度
{
"dimenName":
"Time",
"duniqueName": "[Time]",
"dcaption":
"Time", //名字属性都是这三个
"hierarchies": [
//此维度中的hierarchy
{
"HierarchyName": "Time",
"huniqueName": "[Time]",
"hcaption": "Time",
"levels": [ //此hierarchy中的level
{
"levelName":
"Year",
"luniqueName": "Year",
"lcaption": "Year",
"depth": 0
//depth：level的深度，数值越小范围越大，如0表示ALL
}
……
]
},
{
"HierarchyName": "Time.Weekly",
……
}
]
}
……
],
"measures": [
{
"measureName": "Sales Count",
"muniqueName": "[Measures].[Sales Count]",
"mcaption":
"Sales Count"
}
……
]
}
共享维度的结构与此类似，demo版应该用不到，示例见 附录3。
PS：生成MDX语句的代码见包com.xxx.mdx，
前端需要传给后台的数据形式，见各类开头的长注释。
2.然后是查询的结果(cell)：
PS：相关代码在com.xxx.result包下
选择Cube：Sales，拖选以下条件：
每行封装一个JSON，完整样例见后面 附录1：
取出第一行的第一个cell，格式化（左上，坐标0,0）
{
"value": "$22,553.64", //这个cell的值
"coordRow": 0,
//行坐标
"coordColumn": 0,
//列坐标
"columns": [
//列上的表头（可能有多层）
{
"cname": "CA",
"cuniqueName": "[Customers].[USA].[CA]",
"ccaption": "CA"
},
{ //如此处为第二个表头
"cname": "F",
"cuniqueName":
"[Gender].[F]",
"ccaption": "F"
}
],
"rows": [
//行上的表头（此例只有一个）
{
"rname": "Profit",
"runiqueName": "[Measures].[Profit]",
"rcaption": "Profit"
}
]
}
其中column、row都有三个属性：
-name：简称，如F
-uniqueName：全称，如[Gender].[F]
-caption：显示在页面中的名字，如“女”，默认与-name相同
附录1：
第一行的：
[{"value":"$22,553.64","coordRow":0,"coordColumn":0,"columns":[{"cname":"CA","cuniqueName":"[Customers].[USA].[CA]","ccaption":"CA"},{"cname":"F","cuniqueName":"[Gender].[F]","ccaption":"F"}],"rows":[{"rname":"Profit","runiqueName":"[Measures].[Profit]","rcaption":"Profit"}]},{"value":"$22,911.70","coordRow":0,"coordColumn":1,"columns":[{"cname":"CA","cuniqueName":"[Customers].[USA].[CA]","ccaption":"CA"},{"cname":"M","cuniqueName":"[Gender].[M]","ccaption":"M"}],"rows":[{"rname":"Profit","runiqueName":"[Measures].[Profit]","rcaption":"Profit"}]},{"value":"$22,361.31","coordRow":0,"coordColumn":2,"columns":[{"cname":"OR","cuniqueName":"[Customers].[USA].[OR]","ccaption":"OR"},{"cname":"F","cuniqueName":"[Gender].[F]","ccaption":"F"}],"rows":[{"rname":"Profit","runiqueName":"[Measures].[Profit]","rcaption":"Profit"}]},{"value":"$23,334.58","coordRow":0,"coordColumn":3,"columns":[{"cname":"OR","cuniqueName":"[Customers].[USA].[OR]","ccaption":"OR"},{"cname":"M","cuniqueName":"[Gender].[M]","ccaption":"M"}],"rows":[{"rname":"Profit","runiqueName":"[Measures].[Profit]","rcaption":"Profit"}]},{"value":"$39,174.49","coordRow":0,"coordColumn":4,"columns":[{"cname":"WA","cuniqueName":"[Customers].[USA].[WA]","ccaption":"WA"},{"cname":"F","cuniqueName":"[Gender].[F]","ccaption":"F"}],"rows":[{"rname":"Profit","runiqueName":"[Measures].[Profit]","rcaption":"Profit"}]},{"value":"$37,907.41","coordRow":0,"coordColumn":5,"columns":[{"cname":"WA","cuniqueName":"[Customers].[USA].[WA]","ccaption":"WA"},{"cname":"M","cuniqueName":"[Gender].[M]","ccaption":"M"}],"rows":[{"rname":"Profit","runiqueName":"[Measures].[Profit]","rcaption":"Profit"}]}]
第二行：
[{"value":"37,480.50","coordRow":1,"coordColumn":0,"columns":[{"cname":"CA","cuniqueName":"[Customers].[USA].[CA]","ccaption":"CA"},{"cname":"F","cuniqueName":"[Gender].[F]","ccaption":"F"}],"rows":[{"rname":"Store
Sales","runiqueName":"[Measures].[Store
Sales]","rcaption":"Store
Sales"}]},{"value":"38,088.75","coordRow":1,"coordColumn":1,"columns":[{"cname":"CA","cuniqueName":"[Customers].[USA].[CA]","ccaption":"CA"},{"cname":"M","cuniqueName":"[Gender].[M]","ccaption":"M"}],"rows":[{"rname":"Store
Sales","runiqueName":"[Measures].[Store
Sales]","rcaption":"Store
Sales"}]},{"value":"37,230.43","coordRow":1,"coordColumn":2,"columns":[{"cname":"OR","cuniqueName":"[Customers].[USA].[OR]","ccaption":"OR"},{"cname":"F","cuniqueName":"[Gender].[F]","ccaption":"F"}],"rows":[{"rname":"Store
Sales","runiqueName":"[Measures].[Store
Sales]","rcaption":"Store Sales"}]},{"value":"38,820.32","coordRow":1,"coordColumn":3,"columns":[{"cname":"OR","cuniqueName":"[Customers].[USA].[OR]","ccaption":"OR"},{"cname":"M","cuniqueName":"[Gender].[M]","ccaption":"M"}],"rows":[{"rname":"Store
Sales","runiqueName":"[Measures].[Store
Sales]","rcaption":"Store
Sales"}]},{"value":"65,063.54","coordRow":1,"coordColumn":4,"columns":[{"cname":"WA","cuniqueName":"[Customers].[USA].[WA]","ccaption":"WA"},{"cname":"F","cuniqueName":"[Gender].[F]","ccaption":"F"}],"rows":[{"rname":"Store
Sales","runiqueName":"[Measures].[Store
Sales]","rcaption":"Store
Sales"}]},{"value":"63,216.70","coordRow":1,"coordColumn":5,"columns":[{"cname":"WA","cuniqueName":"[Customers].[USA].[WA]","ccaption":"WA"},{"cname":"M","cuniqueName":"[Gender].[M]","ccaption":"M"}],"rows":[{"rname":"Store
Sales","runiqueName":"[Measures].[Store
Sales]","rcaption":"Store Sales"}]}]
附录2：Cube--Sales 2
{"cubeName":"Sales
2","cuniqueName":"[Sales
2]","ccaption":"Sales
2","dimensions":[{"dimenName":"Time","duniqueName":"[Time]","dcaption":"Time","hierarchies":[{"HierarchyName":"Time","huniqueName":"[Time]","hcaption":"Time","levels":[{"levelName":"Year","luniqueName":"Year","lcaption":"Year","depth":0},{"levelName":"Quarter","luniqueName":"Quarter","lcaption":"Quarter","depth":1},{"levelName":"Month","luniqueName":"Month","lcaption":"Month","depth":2}]},{"HierarchyName":"Time.Weekly","huniqueName":"[Time.Weekly]","hcaption":"Weekly","levels":[{"levelName":"(All)","luniqueName":"(All)","lcaption":"(All)","depth":0},{"levelName":"Year","luniqueName":"Year","lcaption":"Year","depth":1},{"levelName":"Week","luniqueName":"Week","lcaption":"Week","depth":2},{"levelName":"Day","luniqueName":"Day","lcaption":"Day","depth":3}]}]},{"dimenName":"Product","duniqueName":"[Product]","dcaption":"Product","hierarchies":[{"HierarchyName":"Product","huniqueName":"[Product]","hcaption":"Product","levels":[{"levelName":"(All)","luniqueName":"(All)","lcaption":"(All)","depth":0},{"levelName":"Product
Family","luniqueName":"Product
Family","lcaption":"Product
Family","depth":1},{"levelName":"Product
Department","luniqueName":"Product
Department","lcaption":"Product Department","depth":2},{"levelName":"Product
Category","luniqueName":"Product
Category","lcaption":"Product
Category","depth":3},{"levelName":"Product
Subcategory","luniqueName":"Product
Subcategory","lcaption":"Product
Subcategory","depth":4},{"levelName":"Brand
Name","luniqueName":"Brand
Name","lcaption":"Brand
Name","depth":5},{"levelName":"Product
Name","luniqueName":"Product
Name","lcaption":"Product
Name","depth":6}]}]},{"dimenName":"Gender","duniqueName":"[Gender]","dcaption":"Gender","hierarchies":[{"HierarchyName":"Gender","huniqueName":"[Gender]","hcaption":"Gender","levels":[{"levelName":"(All)","luniqueName":"(All)","lcaption":"(All)","depth":0},{"levelName":"Gender","luniqueName":"Gender","lcaption":"Gender","depth":1}]}]}],"measures":[{"measureName":"Sales
Count","muniqueName":"[Measures].[Sales
Count]","mcaption":"Sales
Count"},{"measureName":"Unit
Sales","muniqueName":"[Measures].[Unit
Sales]","mcaption":"Unit
Sales"},{"measureName":"Store
Sales","muniqueName":"[Measures].[Store
Sales]","mcaption":"Store
Sales"},{"measureName":"Store
Cost","muniqueName":"[Measures].[Store
Cost]","mcaption":"Store
Cost"},{"measureName":"Customer
Count","muniqueName":"[Measures].[Customer
Count]","mcaption":"Customer
Count"},{"measureName":"Profit","muniqueName":"[Measures].[Profit]","mcaption":"Profit"},{"measureName":"Profit
last Period","muniqueName":"[Measures].[Profit last
Period]","mcaption":"Profit last Period"}]}
附录3：Shared Dimension
{"sharedName":"Store
Type","suniqueName":"[Store
Type]","scaption":"Store Type","hierarchies":[{"HierarchyName":"Store
Type","huniqueName":"Store
Type","hcaption":"Store
Type","levels":[{"levelName":"(All)","luniqueName":"[Store
Type].[(All)]","lcaption":"(All)","depth":0},{"levelName":"Store
Type","luniqueName":"[Store Type].[Store
Type]","lcaption":"Store
Type","depth":1}]}]}