![]() ![]() In these models if you create partitions per day, the number of users will usually increase and the performance will decrease each day. ![]() These aggregations will help a lot to improve performance. The recommendations include the following tips: There are instructions to increase the performance of the distinct count in a multidimensional database. This document was created for SQL Server 2005, but the document is still valid for SQL Server 2008, 20. The document name is: Analysis Services Distinct Count Optimization and you can obtain it from the following url: ![]() Microsoft created a special document for the distinct count measure. Solution 3 - The Microsoft Recommendations for distinct count measure in SQL Server Analysis Services You will not need to process multiple partitions for the distinct count because it will be a single one. The queries will run faster and you will need less disk space. You will just need a single extra partition with the new measure. With this tip, you will not need to have multiple partitions for the distinct. Instead of creating the measure group, create a dimension with the Users Named Users.Let's say that you have a column with users and you want to create a measure with the distinct count of users. The idea is to replace the distinct count with a new dimension. This option was explained by Samuel Vanga in his article Distinct Count in Analysis Services. If you do not want to migrate to the tabular model, there is another option. Solution 2 - An alternative to the distinct count using an extra dimension in SQL Server Analysis Services New SQL Server Tabular Projects for Analysis Services.Getting started with tabular model in SQL 2012.Before migrating to the tabular model, it is strongly recommended to study the tabular model carefully and deploy the tabular model in a testing environment.įor more information about tabular models you can read the following tips: You should analyze if you want to stay with the multidimensional model and migrate just part of the data required for certain reports. The question is: Should I migrate my entire Database from multidimensional model to a tabular model just because of the distinct count? The query time for distinct count queries are faster because of the in column storage. ![]() The distinct count is treated like any other measure.
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