Using OLAP as a data source and create a JSON object

Hi All,
I have a question.
I am working on an hospital assessment project which is being developed using AngularJs and MVC WEBAPI. We are using "HIGHCHARTS" for developing the required dashboards and charts by providing JSON objects which are developed using MVC WEB-API
(from normal SQL procedures).
Problem is raised when we are trying to build a chart using a table with around 1.2 million records. we are facing severe performance issue while generating the data set. Now, Here is my question "Can
we generate a JSON object using an SSAS cube accessed using MVC"? If it can be done please help me out with some valuable procedure that can be done.
Thanks In Advance.
Regards
Sunil Kumar
Please mark as answer if it is helpful. Thank You

Hi,
Here is another way of doing it using MDX code. I do not know whether this helps you but... Following MDX query produces the Sales Amount per Sub Category.
SELECT {[Measures].[Sales Amount]} ON COLUMNS,
NON EMPTY{[Product].[Subcategory].[Subcategory].MEMBERS} ON ROWS
FROM [Adventure Works]
Following MDX generates the Output As JSON object array.
WITH MEMBER [Measures].[JSON Object_] AS "{""ProductSubCategories"":[" + Chr(13) +
GENERATE
NONEMPTY
[Product].[Subcategory].[Subcategory].MEMBERS,
[Measures].[Sales Amount]
), Space(10) + "{""SubCategoryName"":""" + [Product].[Subcategory].CurrentMember.Member_Name + """, ""SalesAmount"":""" + CStr([Measures].[Sales Amount]) + """}," + Chr(13)
MEMBER [Measures].[JSON Object] AS LEFT([Measures].[JSON Object_], LEN([Measures].[JSON Object_]) -2) + Chr(13) + "]}"
SELECT {[Measures].[JSON Object]} ON COLUMNS
FROM
SELECT {[Measures].[Sales Amount]} ON COLUMNS
FROM [Adventure Works]
WHERE {([Product].[Subcategory].[Subcategory].MEMBERS)}
Following is the JSON Object OutPut of the above query.
{"ProductSubCategories":[
{"SubCategoryName":"Bib-Shorts", "SalesAmount":"166739.7086"},
{"SubCategoryName":"Bike Racks", "SalesAmount":"237096.156"},
{"SubCategoryName":"Bike Stands", "SalesAmount":"39591"},
{"SubCategoryName":"Bottles and Cages", "SalesAmount":"64274.793600001"},
{"SubCategoryName":"Bottom Brackets", "SalesAmount":"51826.374"},
{"SubCategoryName":"Brakes", "SalesAmount":"66018.711"},
{"SubCategoryName":"Caps", "SalesAmount":"51229.4461000002"},
{"SubCategoryName":"Chains", "SalesAmount":"9377.7102"},
{"SubCategoryName":"Cleaners", "SalesAmount":"18406.9725"},
{"SubCategoryName":"Cranksets", "SalesAmount":"203942.6182"},
{"SubCategoryName":"Derailleurs", "SalesAmount":"70209.4958"},
{"SubCategoryName":"Fenders", "SalesAmount":"46619.5799999995"},
{"SubCategoryName":"Forks", "SalesAmount":"77931.6896"},
{"SubCategoryName":"Gloves", "SalesAmount":"242795.874200003"},
{"SubCategoryName":"Handlebars", "SalesAmount":"170591.3209"},
{"SubCategoryName":"Headsets", "SalesAmount":"60942.1984"},
{"SubCategoryName":"Helmets", "SalesAmount":"484048.532299996"},
{"SubCategoryName":"Hydration Packs", "SalesAmount":"105826.4185"},
{"SubCategoryName":"Jerseys", "SalesAmount":"752259.388399975"},
{"SubCategoryName":"Locks", "SalesAmount":"16225.22"},
{"SubCategoryName":"Mountain Bikes", "SalesAmount":"36445443.9409015"},
{"SubCategoryName":"Mountain Frames", "SalesAmount":"4713672.1469"},
{"SubCategoryName":"Pedals", "SalesAmount":"147483.9098"},
{"SubCategoryName":"Pumps", "SalesAmount":"13514.6873"},
{"SubCategoryName":"Road Bikes", "SalesAmount":"43878790.9970001"},
{"SubCategoryName":"Road Frames", "SalesAmount":"3849853.3438"},
{"SubCategoryName":"Saddles", "SalesAmount":"55829.3882"},
{"SubCategoryName":"Shorts", "SalesAmount":"413522.526999996"},
{"SubCategoryName":"Socks", "SalesAmount":"29745.1280999999"},
{"SubCategoryName":"Tights", "SalesAmount":"201833.006"},
{"SubCategoryName":"Tires and Tubes", "SalesAmount":"246454.527600005"},
{"SubCategoryName":"Touring Bikes", "SalesAmount":"14296291.2698"},
{"SubCategoryName":"Touring Frames", "SalesAmount":"1642327.6862"},
{"SubCategoryName":"Vests", "SalesAmount":"259488.3707"},
{"SubCategoryName":"Wheels", "SalesAmount":"679070.065399999"}
Best regards...
Chandima Lakmal Fonseka

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+For example:+
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Profit in Euro.
Profit in Yen.
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Sales in Yen.
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I would like to know how i can create a bell graph with out using sub VIs, the data that i created consists in 500 readings with values of 0 to 100, i calculated the mean value and standard diviation. I hope some one can help me

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Here's a quick example I threw together that generates a sort-of-bell-curve shaped data distribution, then performs the binning and plotting.
-Kevin P.
Message Edited by Kevin Price on 12-01-2006 02:42 PM
Attachments:
Binning example.vi ‏51 KB
Binning example.png ‏12 KB

SQL ENTERPRISE: The edition of Reporting Services that you are using requires that you use local SQL Server relational databases for report data sources and the report server database

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No, You can not use sql as a data source for a project.
You have 3 options to achieve it:
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2. You can create a SSRS report in which you can display grantt chart Joe has given you that link.
3. You can write a macro in MPP which will take data from your excel. In excel you will fetch data from your stored procedure. write a schedule which will run every day to update your data or
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kirtesh

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Message was edited by: Sue and Enrique
Ramesh P

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If you wont to create the genaric data source at that time
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