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«September 2015»

Executing DBCC for SQL Server Analysis Services 2016

In the upcoming release of SQL Server Analysis Services 2016, one of the new features you’ll see is the ability to perform a database consistency check against your SSAS cubes and Tabular models. Just like in the database engine side of things, DBCC for SSAS checks for corruption across the entire database or individual objects within the database.

The DBCC command is shaped likes the XMLA Process command so there’s not a lot of complexity to it. Below here, you can see the basic syntax for the SSAS DBCC command. Its worthing noting that the syntax of the command will look the same whether you’re running it against an SSAS multidimensional database or Tabular model.


To run the DBCC command, just open a new MDX query window and use the code seen above. Enter in the IDs of your Database, cube, measure and/or partition.

When you’re running the DBCC command against a Tabular model, there are a couple things I’d like to point out.

In the element for the CubeID, you’ll need to specify the ID of the Model. And in the element for the MeasureGroupID, specify the ID for the table you want to check.

DBCC XMLA command for SSAS

If you want to check the whole database or model for consistency, simply remove the elements the lower elements. For example, if I wanted to check the whole model, I just would leave out the elements for MeasureGroupID and PartitionID.

To find the MeasureGroupID (Table ID) or PartitionID in a Tabular model, just navigate to the Properties for that object.

Find the SSAS Tabular MeasureGroup ID or Table ID

To find the Partition ID in a Tabular model, right click the table and select Partitions. Then highlight the partition you want to check and click the Settings icon.

Find the SSAS Tabular partition ID

If you run SQL Server Profiler against SSAS while executing the DBCC command, you can see the individual checking of the columns, tables, database and more.

SSAS Tabular Profiler trace DBCC

I also ran a trace against my SSAS 2016 OLAP instance to watch each segment of

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PowerPivot - Measure Grid

  • 20 July 2011
  • Author: DevinKnight
  • Number of views: 117587

There are a lot of fantastic new features in the latest CTP 3 release of PowerPivot, which you can download here.  This is a huge change for PowerPivot and really shows how the product is maturing into become a tool that can solve a variety of problems that it could not handle in its initial release last year.  You can read up on all the change that in the latest release of PowerPivot here, but I thought I would write a series of blogs detailing each individually.

In this post I’d like to introduce you to the new Measure Grid object.  The Measure Grid provides you a new way for creating Calculated Measures for your PowerPivot reports.  Previously, anytime you wanted to create a Calculated Measure you had to be in the PivotTable Field List inside of Excel.  You would right-click on the table that you wanted the measure and write the DAX formula to create the calculation.  While this method is still available (and even has a few improvements of its own) today I want to focus on the new method for creating Calculated Measures. 

The Measure Grid is different in that you will find it back in the PowerPivot window instead of your Excel PivotTable Field List.  To access it you simply click the Measure Grid icon in the Home ribbon.

This will open the grid where you can begin to write your measure formula.  The DAX statement written here is exactly the same as it was done previously but you provide the measure name in front of the formula like so:


This will add the unformatted results of your formula into the Measure Grid within a single cell.  To fix things like formatting you simply right click in the Measure Grid and apply the appropriate formatting after clicking Format.  You can also delete the measure or provide a description of the measures intent for other users.

As you can see the Measure Grid can also create KPIs but I’ll save that for another blog because it will require a much lengthier description.  While this new PowerPivot may seem like a minimal change I think it’s a great change because it allows the developer of the PowerPivot model to segment out his/her thinking.  The PowerPivot window can now be used for all modeling and calculations and Excel can be just for building reports.  Like I said this does not prevent you from still creating measures in Excel as well like you would have done previously in PowerPivot.


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