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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.

"http://schemas.microsoft.com/analysisservices/2003/engine">
    <Object>
        
        
        
        
    Object>

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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Processing a Measure Groups Index Using SSMS

  • 1 December 2010
  • Author: briankmcdonald
  • Number of views: 5044
  • 0 Comments

 

As I had mentioned in a previous blog (Creating and processing an Analysis Services partition), instead of processing an entire partition, you can process just the indexes. Processing measure group indexes will improve performance of your cubes! In this blog, I am going to walk you through processing the index of a sample cube built using the AdventureWorksDW2008R2 database.

 

Step 1: Connect up to your Analysis Services using SSMS

So, let’s fire up SQL Server Management Studio and bet started. When the Connect to Server dialog box comes up, be sure to choose Analysis Services as the Server type and enter the name of the analysis services server, as shown below.

Connect To SSAS Brian K McDonald 

 

Step 2: Drill down into your Measure Group

Using the Object Explorer, drill down into a measure group as shown below. Again, in my example, I am using a sample cube that I built. Notice that I have an Internet Sales measure group and a Reseller Sales measure group.

Navigate to Measure Group - Brian K McDonald

 

Step 3: Process Measure Group Submenu Option

 Right Click on the Measure Group and choose Process as shown in the sub menu below. In this example, I have chosen to reprocess my Internet Sales measure group.

Process the Measure Group Option - Brian K McDonald 

 

Step 4: Change Processing Options to “Process Index”

The default processing option is “Process Full”. Update the Process Options by selecting the down arrow and then choosing “Process Index” as depicted in my screenshot with a red square and yellow highlight.

Change Processing Option - Brian K McDonald

Now all that you need to do is just click OK and analyis services will begin processing the index. If all goes well, you should see something similar to below. Note that this could take a while if the index is large, so please do not test this out for the first time on your production server. J

Process Succeeded - Brian K McDonald 

 

I hope that you have enjoyed this post. If you did, please take just a moment to rate it below! Also, if you don’t already, please be sure to follow me on twitter at @briankmcdonald. Also note that you can subscribe to an RSS feed of my blogs or find me at any of the below methods.

 

 

Brian K. McDonald, MCDBA, MCSD
Business Intelligence Consultant – Pragmatic Works

Email: bmcdonald@pragmaticworks.com

Blogs: SQLBIGeek | SQLServerCentral | BIDN | SQLServerPedia

Twitter: @briankmcdonald

LinkedIn: http://tinyurl.com/BrianKMcDonald

 

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