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SSAS development quick tip

When creating a new cube in SSAS, you are frequently making changes that cause the whole cube to reprocess when you use the “Deploy” option (such as structure changes or aggregation design changes).  This means a lot of sitting around and waiting for the cube to process if you have a large fact table.  What I usually do to avoid this problem is to go to the Data Source View that the cube is using, right-click the fact table, choose “Replace Table With New Named Query” and modify the resulting SQL SELECT statement to use a “TOP 1000″ or create a WHERE clause that filters by a particular day or month.

This works great, and processing becomes very quick as I build out the cube.  Then when the cube is far enough along that I want to check it out with all the data, I revert back to the unmodified SELECT SQL statement.  A word of warning: a few times I created a new named query and filtered the results, only to forget about the filter and I winded up wasting my time trying to figure out why my cube is not pulling in all the data.  So don’t make the mistake I made!

James Serra's Blog

James is a big data and data warehousing technology specialist at Microsoft. He is a thought leader in the use and application of Big Data technologies, including MPP solutions involving hybrid technologies of relational data, Hadoop, and private and public cloud. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 30 years of IT experience. James is a popular blogger (JamesSerra.com) and speaker, having presented at dozens of PASS events including the PASS Business Analytics conference and the PASS Summit. He is the author of the book “Reporting with Microsoft SQL Server 2012”. He received a Bachelor of Science degree in Computer Engineering from the University of Nevada-Las Vegas.


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