We ensure the build server has no remnants of the previous build by dropping the tabular model if it exists using the Drop SSAS tabular cube model task. Next, we deploy the SQL Database using our sister component Publish DACPAC using a DAC Publish Profile asdatabase file for the tabular cube model. ![]() The solution contains a SQL Server database project and a SSAS tabular cube project, so the build produces a DACPAC for the SQL database and an. The screenshots below show how the components can be used in your CI pipeline.įirst the pipeline builds the solution using MsBuild. As outlined on Microsoft's guide to Azure Pipelines self-hosted agents, the agent must have "line of sight" connectivity to the target servers. Please ensure that this service runs under a AD domain service account with admin privileges on your target SQL Server Analysis Services instance. When installed, the agent appears in the Services Management Console (services.msc) as VSTS Agent (YourDomain.AgentName). In order to successfully deploy a tabular cube, the Azure Pipelines self-hosted agent needs to run under a service account that has admin privileges on your target SQL Server Analysis Services instance. Admin privileges required by the Agent Service Account The module also requires the Microsoft SQL Server PowerShell module SqlServer which is installed automatically by the task. ![]() is known as the Analysis Services Deployment Utility and is installed alongside SQL Server Management Studio (SSMS). The following pre-requisites need to be installed on your in-house build agent for the Deploy SSAS Tabular Cube Model task to work properly. For those using Octopus Deploy or Chef, you can use the underlying PowerShell module Deplo圜ube to perform the same deployment tasks. These tasks can also be used to automate the deployment of tabular cubes using Release pipelines in Azure Pipelines in a continuously delivery scenario. Load a SSAS tabular cube model with data from an an on-premise SQL Server database by processing the cubeĭelete tabular cube model from an SSAS instance (if it exists)Īs part of your CI pipeline you can use these tasks to deploy and populate your cube with data so you can run a suite of automated tests against your cube. Update SSAS tabular cube data source connection string to use an on-premise SQL Server database Publish a tabular cube model to an SSAS instance ![]() With these tasks you can deploy, update, process and drop tabular cube models on an on-premise Microsoft SQL Server Analysis Services (SSAS) server. This extension adds four tasks to Azure DevOps which are ideal for integrating tabular cube models into your CI pipeline. Deployment tools for SSAS Tabular Cube Models
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