How do you handle data source view name changes in SSAS deployments and migrations?

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If you work with SQL Server Analysis Services (SSAS), you may encounter situations where you need to change the name of a data source view (DSV) in your project or solution. A DSV is a logical representation of the data sources and tables that are used by your SSAS objects, such as dimensions, cubes, and measures. Changing the name of a DSV can affect the deployment and migration of your SSAS solution, especially if you use XMLA scripts or backup and restore methods. In this article, you will learn how to handle data source view name changes in SSAS deployments and migrations without breaking your SSAS objects or losing your metadata.

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Priyanka Verma

Helping SaaS Companies Automate Lead Generation & Boost MQLs | Outreach & Automation Expert

1 Why change a DSV name?

There are several reasons why you may want to change the name of a DSV in your SSAS project or solution. For example, you may want to align the DSV name with the data source name, the cube name, or the business domain. You may also want to rename a DSV to avoid confusion or duplication with other DSVs in your SSAS instance or server. Changing the name of a DSV can also help you organize and manage your SSAS projects and solutions more efficiently.

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Priyanka Verma

Helping SaaS Companies Automate Lead Generation & Boost MQLs | Outreach & Automation Expert
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Changing a Data Source View (DSV) name in SSAS deployments and migrations may be necessary for several reasons, such as improving clarity, aligning with naming conventions, or reflecting changes in the underlying database structure. A clear and consistent naming convention helps avoid confusion and ensures easier management across different environments. When changing a DSV name, ensure that all references to the old name in the project are updated, including cube data sources, MDX queries, and data mining structures. Test thoroughly to ensure no broken links or references remain after the change to avoid deployment issues.

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2 How to change a DSV name in SSDT?

Using SQL Server Data Tools (SSDT), an integrated development environment (IDE) for SSAS, is the simplest way to change the name of a DSV in your SSAS project or solution. To rename a DSV in SSDT, open your SSAS project or solution in SSDT, then expand the Data Source Views folder and locate the DSV you want to rename. Right-click the DSV and select Rename from the context menu. Type in the new name for the DSV and press Enter, then save your SSAS project or solution. SSDT will automatically update references to the DSV in your SSAS objects, like dimensions, cubes, and measures. To ensure that the name change is successful, open the properties window of the DSV or any of the SSAS objects that use the DSV.

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3 How to deploy a renamed DSV?

After you change the name of a DSV in SSDT, you need to deploy your SSAS project or solution to your SSAS instance or server. You can use different methods to deploy your SSAS project or solution, such as the Deploy command in SSDT, the Deployment Wizard, or the Analysis Services Deployment utility. However, regardless of the method that you use, you need to make sure that you deploy the entire SSAS project or solution, not just the DSV. This is because the SSAS objects that use the DSV may have dependencies on other SSAS objects, such as partitions, aggregations, or roles. If you deploy only the DSV, you may encounter errors or inconsistencies in your SSAS objects or metadata.

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4 How to migrate a renamed DSV?

If you want to migrate your SSAS project or solution to another SSAS instance or server, you need to consider the impact of the DSV name change on your migration process. XMLA scripts, backup and restore, and synchronization are all methods that can be used for migration. However, depending on the method chosen, additional steps or modifications may be necessary. For example, if using XMLA scripts, you must edit the scripts to reflect the new name of the DSV and make sure they include all objects and dependencies. With backup and restore, you must be aware that the backup file contains the old name of the DSV; therefore, when restoring it to another SSAS instance or server, you will need to rename the DSV with SSDT or XMLA scripts. Finally, if using synchronization to migrate your SSAS project or solution, make sure that both source and destination SSAS instances or servers have the same name for the DSV; otherwise, synchronization may fail. To ensure this is true, you can use SSDT or XMLA scripts to rename the DSV in either source or destination SSAS instance or server.

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5 Best practices for changing a DSV name

When changing the name of a DSV in your SSAS project or solution, it’s important to consider some best practices in order to avoid potential issues. Plan ahead and choose consistent names that reflect your data sources, cubes, or business domains. Additionally, document and communicate the reasons and impacts of the change to stakeholders. Test and validate your SSAS project or solution after changing the DSV name to ensure accuracy and functionality. Backup your SSAS project or solution both before and after the change for a recovery option if needed. Utilize SSDT or XMLA scripts to make the change, as they are more efficient than manual methods. Lastly, deploy or migrate your entire SSAS project or solution, not just the DSV, to prevent errors or inconsistencies in your SSAS objects or metadata.

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Jaime Plaza Hernandez

Marketing Digital | Comunicación Corporativa | Data Analytics | Dise?ador y Editor
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Según mi experiencia, renombrar un DSV puede ser crucial para mantener consistencia y claridad en proyectos complejos de SSAS. Un buen caso práctico es cuando trabajaba en un proyecto donde los nombres no reflejaban la estructura real del negocio, lo que generaba confusión. Cambiarlos no solo simplificó la colaboración con los equipos, sino que también facilitó la migración entre entornos.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Andra Constandache

Data Analytics | Data Science | Harvard University
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Managing Data Source View (DSV) name changes in SSAS deployments requires careful planning to avoid breaking references in the model. I start by backing up the SSAS project and database, then update the DSV name in SQL Server Data Tools (SSDT), ensuring all dependent objects (cubes, dimensions, measures) are remapped correctly. For multi-environment migrations, I use parameterized deployment scripts to dynamically adjust the DSV name and connection string. After deploying changes to a staging environment, I run a full process to validate functionality. Then, I document the updates to ensure a seamless workflow for future deployments.

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Hallyson Pacheco

Partner Sales - BluePex CiberSecurity
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Altera??es de nomes de exibi??o no SSAS exigem planejamento e controle. Mapeie as fontes de dados, ajuste os metadados para minimizar impacto nos usuários e teste em ambiente de staging antes de implantar. Comunique as mudan?as à equipe e mantenha o foco em confian?a e resultados previsíveis.

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How do you handle data source view name changes in SSAS deployments and migrations?

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1 Why change a DSV name?

2 How to change a DSV name in SSDT?

3 How to deploy a renamed DSV?

4 How to migrate a renamed DSV?

5 Best practices for changing a DSV name

6 Here’s what else to consider

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