ssas

问题 I'm very new to MDX so I hope this is a simple question for a MDX expert. I have the following expression SUM(PeriodsToDate([Accounting Date].[(All)]),[Measures].[Amount]) which this piece works as expected. I need to add a filter or IIF statement that basically does the following: IF SUM(PeriodsToDate([Accounting Date].[(All)]),[Measures].[Amount]) < 0 Then 0 Else SUM(PeriodsToDate([Accounting Date].[(All)]),[Measures].[Amount]) 回答1: I'm afraid it's impossible to do with pre-aggregated data.

问题 I have just started learning the SQL Server and Power BI. I'm working on a project and for that i need to create a Measure for the Power BI report that will dynamically extracts the information about all the tables (like Table Name, Last Updated, Dependencies, etc) used in the Tabular solution. I couldn't find any satisfactory answer anywhere. Is there anyone here who could help? 回答1: If you are using an SSAS tabular data model or multi-dimensional cube, you can use DMVs to extract meta data

问题 I have All_Product hierarchy in All_product dimension. strength-->product-->market I want calculation for product growth and market growth on monthly basis((current-prev)/prev). I used scripts to calculate product growth (wrt product) and market growth (wrt market) which working fine but how to show for market growth with respect to each product. eg: market growth for each product under that particular market will be same example: I have market m1 and under market m1 having products p1,p2 and

问题 So we process the SSAS tabular cubes every night and the other night the processing of the cube failed. Now what I want to do is implement a system that would trigger an automatic reprocess after failure. Is there a way to do that in SSAS Tabular? If not, then can I do it using Informatica. Because as of now we call SSIS packages using Informatica to process the cubes. Thanks! 来源： https://stackoverflow.com/questions/34644420/reprocess-tabular-cubes-after-failure-using-informatica

问题 2 hierarchical dimensions (for location and time) are defined on a cube. My question is about possibility of writing a single MDX query for retrieving following structure. I mean writing a single query for obtaining values V1, V2, V3 and V4: The obvious way is to use multiple MDX queries. Just wondering if there is some magic syntax in MDX. 回答1: Try: SELECT { [Measures].[Some Measure] } ON 0, { [Location].[Level 1].[Level 1].Members* [Date].[Year].[Year].Members* [Location].[Level 2].[Level 2

问题 This question already has answers here : Closed 8 years ago . Possible Duplicate: Can I turn off impersonation just in a couple instances I've created an application that, when uploaded to my server throws the following exceptions: [Win32Exception (0x80004005): No credentials are available in the security package] [AdomdConnectionException: Authentication failed.] Here is my connection string: public AdomdConnection conn = new AdomdConnection("Data Source=BTN-SQL1;Initial Catalog

问题 I have a requirement of migrating Cognos cubes to SSAS. Can some body guide me Is it possible to access Cognos cubes by SSAS? 回答1: To my understanding, the PowerCube itself must have been generated from a database of some kind (or flat files), so you will just need to import the source data and redo the model in SSAS. 来源： https://stackoverflow.com/questions/25894502/migration-from-cognos-cubes-to-ssas

问题 I have this MDX query select { [Measures].[Sold value] ,[Measures].[Units] ,[Measures].[Sales baskets] ,[Measures].[ATV] ,[Measures].[AUT] } on columns , filter( nonempty( {[Branch].[Branch].&[5] *[Receipt No - Sales].[Receipt No].[Receipt No]} ), [Measures].[Sold value] >= 50 ) on rows from Rmis where [Time].[Day].&[20131218] Which generates following result: How can I get the total of these measures of the above result set? The total should use the aggregation defined in the cube. 回答1: with

问题 I have the following fact table : ID_Activ Date_Start Date_End ID_session DayOfWeek Time_Start Time_End 1 01/02/2018 15/02/2018 11 4 08:00:00 10:00:00 2 01/02/2018 15/02/2018 21 4 09:00:00 10:00:00 3 01/03/2018 15/03/2018 31 2 09:00:00 10:00:00 I have a conventional dimensions date, and a custom dimension time with hours, minutes and seconds. I would like to slice or dice using these dimensions to get this output: Date hour Count_session 01/02/2018 08 1 01/02/2018 09 2 01/02/2018 10 2 08/02

问题 By using the answer of MDX on multiple hierarchical dimensions I have the following MDX query: with member L1Y1 as ([Dim Location].[Hierarchy].[Center].&[1], [Dim Date].[Calendar Date].[Year].&[2010], [Measures].[x]) select ([Dim Attribute].[Parent Code].&[10000]) on 0, ({L1Y1}) on 1 from DS Now the problem is how to filter the L1Y1 based on its children. For example suppose we want to filter it so that only season 2 and month 7 included in the query. The following query output is the same as