Ssas tabular processing1/5/2024 ![]() You can process objects interactively using a client application such as SQL Server Data Tools or Management Studio, or a scripted operation that run as a SQL Server Agent job or SSIS package. For more information about deployment, see Deploy Analysis Services Projects (SSDT). However, you can set options to process the model later, after you deploy the solution. Initially, during the early stages of model development, deployment and processing occur together. The project or solution must be deployed before you can process any objects. The account must have read permissions on relational data sources used by the model. The account used to retrieve data is specified in the data source object, either as an impersonation option if you are using Windows authentication, or as the user name on the connection string if using database authentication. For more information about setting administrator permissions, see Grant server admin rights to an Analysis Services instance. For processing that runs unattended, for example using an SSIS package that you schedule through SQL Server Agent, the account used to run the package must be a member of the server administrator role. If you are processing interactively from SQL Server Data Tools or Management Studio, you must be a member of the server administrator role on the SQL Server Analysis Services instance. Processing requires administrative permissions on the Analysis Services instance. This topic includes the following sections: When making a structural change to the model, such as removing a dimension or changing its compatibility level, you will need to process again to synchronize the physical and logical aspects of the model. You can also process all or part of a solution, either ad hoc using tools such as Management Studio or SQL Server Data Tools, or on a schedule using Integration Services and SQL Server Agent. For objects that use ROLAP storage, processing refers to updating the cache before returning query results.īy default, processing occurs when you deploy a solution to the server. For ROLAP storage, processing occurs on demand, in response to an MDX query on an object. For objects that use MOLAP storage, data is saved on disk in the database file folder. This stored procedure can be executed by the web application, enabling users to process a tabular database on-demand and get feedback as to the success of the task.Processing is the step, or series of steps, in which Analysis Services loads data from a relational data source into a multidimensional model. PRINT 'Job ''' + + ''' is already started ' PRINT 'Successfully Processed Tabular Database' SELECT = IIF(stop_execution_date IS NULL,1,0) JOIN activity ON job.job_id = activity.job_idĪND job.name = 'Starting job ''' + + '''' Introducing the code for the stored procedure:ĬREATE PROCEDURE. Sp_start_job works, but it doesn’t accommodate for providing a completion message, or informing a user that a process is in progress. Producing the following successful message Luckily, there’s a system stored procedure that can start agent jobs: _start_jobĮXEC _start_job 'ProcessTabular' Now that we have a SQL Agent job, we’ll need to start that job using SQL. ![]() A full list of commands for processing a tabular database can be found here. XMLA commands also work for older versions. I’m using SQL Server 2016, so using Tabular Model Scripting Language (TMSL) for my command. The Type should be SQL Server Analysis Services Command, input the server address and input the refresh script. I opted for SQL Agent Job because it was the most simple method of execution without having to reconfigure the server or introduce technologies and languages that weren’t already in use.įirst things first, create a SQL Agent Job, I called mine ProcessTabular. There’s quite a few methods to process a tabular model: use an SSIS package, PowerShell, SQL Agent Job and others. ![]() That’s the challenge – process a tabular model quickly, but should be processed by users on-demand. Therefore the tabular model, which does all the additional calculation and measures, needs to be processed by a user from the web application. That data then needs to be immediately surfaced up into reports, with additional calculations and measures along the way. The process behind it being: a user enters data into a web application, which gets written to a database. This stored procedure would then be executed from a web application. Recently, at a client, I was challenged to create a stored procedure that would process a tabular model. ![]()
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