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SQL Server Data Tools: Download and Installation Options for Visual Studio 2017



How to Download Visual Studio 2017 SSDT




If you are looking for a modern development tool for building SQL Server relational databases, Azure SQL databases, Analysis Services data models, Integration Services packages, and Reporting Services reports, you might want to consider using SQL Server Data Tools (SSDT) for Visual Studio. In this article, you will learn how to download and install SSDT for Visual Studio 2017, how to use it for database development, and how to troubleshoot some common issues.




download visual studio 2017 ssdt



What is Visual Studio 2017 SSDT?




SQL Server Data Tools (SSDT) is an extension for Visual Studio that allows you to design and deploy any SQL Server content type with the same ease as you would develop an application in Visual Studio. You can use SSDT Transact-SQL design capabilities to build, debug, maintain, and refactor databases. You can work with a database project or directly with a connected database instance on or off-premise. You can also create Analysis Services models, Reporting Services reports, and Integration Services packages using familiar Visual Studio tools.


How to Install SSDT with Visual Studio 2017




Starting with Visual Studio 2017, the functionality of creating database projects has been integrated into the Visual Studio installation. There is no need to install the SSDT standalone installer for the core SSDT experience. However, if you want to create Analysis Services, Integration Services, or Reporting Services projects, you still need the SSDT standalone installer.


To install SSDT during Visual Studio installation, select the Data storage and processing workload, and then select SQL Server Data Tools. If Visual Studio is already installed, use the Visual Studio Installer to modify the installed workloads and add the Data storage and processing workload. For more information, see the documentation.


If you don't have Visual Studio 2017 installed, you can download the Visual Studio 2017 Community edition for free from the page. Make sure to select the Data storage and processing workload during the installation.


How to Install Analysis Services, Integration Services, and Reporting Services Tools




To create Analysis Services, Integration Services, or Reporting Services projects, you need to install the SSDT standalone installer. The SSDT standalone installer is a separate download that lets you install one or more of these extensions without having to install Visual Studio first.


To install the SSDT standalone installer, follow these steps:


  • Download the for Visual Studio 2017.



Run the installer and select the extensions you want to install. You can choose one or more of the following:


  • Analysis Services - This extension lets you create tabular or multidimensional models that can be used for business intelligence or data analysis.



  • Integration Services - This extension lets you create packages that can perform data integration and transformation tasks such as loading data from various sources, cleansing data, or applying business rules.



  • Reporting Services - This extension lets you create reports that can display data in various formats such as tables, charts, maps, or gauges.




  • Click Install and wait for the installation to complete.



  • Restart Visual Studio if it was running during the installation.



After installing the SSDT standalone installer, you should be able to create and open Analysis Services, Integration Services, or Reporting Services projects in Visual Studio 2017.


How to Download Additional Components for SSDT




In addition to the core SSDT features and extensions, there are some additional components that you can download and install to enhance your database development experience. These components are:


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  • - These connectors enable high-performance extraction, transformation, and loading (ETL) of data from Oracle or Teradata sources using Integration Services.



  • - This component enables you to use Power Query (M) formulas to import data from various sources into SQL Server using Integration Services.



To download and install these components, follow the links above and follow the instructions on the download pages. You may need to restart Visual Studio after installing these components.


Benefits of Using SSDT for Database Development




Using SSDT for database development has many benefits that can improve your productivity and quality of your code. Some of these benefits are:


  • Declarative database development - You can use a declarative model to define your database schema and objects without worrying about the underlying SQL scripts. SSDT will generate the scripts for you when you build or publish your project.



  • Schema and data compare - You can use the schema compare and data compare features in SSDT to compare and synchronize schemas or data between different databases or database projects. You can also generate update scripts or deploy changes directly from the compare results.



  • Refactoring - You can use the refactoring features in SSDT to rename, move, or encapsulate database objects without breaking dependencies or references. SSDT will update all the references in your code automatically.



  • Continuous integration and deployment - You can use the publish and deploy features in SSDT to automate your database deployment process. You can also integrate SSDT with Azure DevOps to enable continuous integration and delivery (CI/CD) pipelines for your database projects.



Common Issues and Troubleshooting Tips for SSDT




While using SSDT for database development, you may encounter some issues or errors that may affect your work. Here are some of the common issues and troubleshooting tips for SSDT:


  • Debugging - If you have trouble debugging your database code or stored procedures, make sure that you have enabled SQL Server debugging in Visual Studio. To do this, go to Tools > Options > Debugging > General and check the Enable SQL Server debugging option. You also need to have the SQL Server Object Explorer window open and connected to the target database. For more information, see the documentation.



  • Third party components - If you have installed any third party components or extensions for Visual Studio that interact with SSDT, such as Redgate SQL Tools or ApexSQL Tools, you may experience some compatibility issues or conflicts. To resolve these issues, you may need to update, disable, or uninstall the third party components. For more information, see the documentation.



  • VSTA issues - If you have trouble creating or opening Integration Services projects or packages, you may have some issues with the Visual Studio Tools for Applications (VSTA) component. To resolve these issues, you may need to repair, reinstall, or update the VSTA component. For more information, see the documentation.



  • SNAC removal - If you have installed the latest version of SSDT for Visual Studio 2017, you may notice that the SQL Server Native Client (SNAC) component has been removed from the installation. This is because SNAC has been deprecated and replaced by Microsoft OLE DB Driver for SQL Server (MSOLEDBSQL). To resolve any issues caused by this change, you may need to update your connection strings or install the MSOLEDBSQL component. For more information, see the documentation.



  • Side by side issues - If you have multiple versions of Visual Studio or SSDT installed on your machine, you may encounter some side by side issues or conflicts. To resolve these issues, you may need to update, repair, or uninstall the conflicting versions. For more information, see the documentation.



Conclusion




In this article, you have learned how to download and install SSDT for Visual Studio 2017, how to use it for database development, and how to troubleshoot some common issues. SSDT is a powerful and versatile tool that can help you design and deploy any SQL Server content type with ease and efficiency. You can also take advantage of the additional components and features that SSDT offers to enhance your database development experience.


If you want to learn more about SSDT and how to use it for different scenarios and tasks, you can check out the following resources:














FAQs




What are the supported SQL versions for SSDT?




The supported SQL versions for different project templates in SSDT are shown in the table below:



Project templateSupported SQL versions


Database projectSQL Server 2005 - 2019Azure SQL DatabaseAzure Synapse Analytics (formerly SQL DW)


Analysis Services project (tabular)SQL Server 2012 - 2019Azure Analysis ServicesPower BI PremiumPower BI Desktop (import mode only)


Analysis Services project (multidimensional)SQL Server 2008 - 2019


Integration Services projectSQL Server 2012 - 2019Azure-SSIS Integration Runtime in Azure Data FactoryAzure Synapse Analytics (formerly SQL DW)


Reporting Services projectSQL Server 2008 R2 - 2019Azure SQL DatabaseAzure Synapse Analytics (formerly SQL DW)


How can I update SSDT to the latest version?




To update SSDT to the latest version, you can download the latest version of SSDT from the . You can either install it as a standalone installer or as a Visual Studio extension. If you install it as a standalone installer, you can choose which extensions to update. If you install it as a Visual Studio extension, you can update it from the Extensions > Manage Extensions menu in Visual Studio.


How can I use SSDT to compare and synchronize schemas or data between databases?




To use SSDT to compare and synchronize schemas or data between databases, you can use the schema compare and data compare features in SSDT. These features allow you to compare the schemas or data of two databases or database projects and generate update scripts or apply changes directly. You can also save the compare results as a file and open it later for review or deployment.


To use the schema compare feature, follow these steps:


  • In Visual Studio, go to Tools > SQL Server > New Schema Comparison.



  • Select the source and target databases or database projects that you want to compare. You can also specify options such as object types, ignore settings, or deployment options.



  • Click Compare to start the comparison. The results will show the differences between the source and target schemas.



  • Review the results and select the objects that you want to update. You can also exclude objects that you don't want to update.



  • Click Update to apply the changes to the target database or project. Alternatively, you can click Generate Script to create an update script that you can run later.



To use the data compare feature, follow these steps:


  • In Visual Studio, go to Tools > SQL Server > New Data Comparison.



  • Select the source and target databases that you want to compare. You can also specify options such as tables, columns, filters, or mappings.



  • Click Compare to start the comparison. The results will show the differences between the source and target data.



  • Review the results and select the rows that you want to update. You can also exclude rows that you don't want to update.



  • Click Update to apply the changes to the target database. Alternatively, you can click Generate Script to create an update script that you can run later.



How can I use SSDT to refactor my database code?




To use SSDT to refactor your database code, you can use the refactoring features in SSDT. These features allow you to rename, move, or encapsulate database objects without breaking dependencies or references. SSDT will update all the references in your code automatically when you perform a refactoring operation.


To use the refactoring features, follow these steps:


  • In Visual Studio, open your database project or connect to your database in SQL Server Object Explorer.



  • Select the object that you want to refactor in Solution Explorer or SQL Server Object Explorer.



  • Right-click on the object and select Refactor from the context menu. You will see a list of available refactoring operations such as Rename, Move Schema, Move To Folder, Encapsulate Field, etc.



  • Select the refactoring operation that you want to perform and follow the instructions in the dialog box.



  • Review the preview of the changes that will be made by the refactoring operation. You can also see a list of affected files and objects.



  • Click Apply to perform the refactoring operation. SSDT will update all the references in your code automatically.



How can I use SSDT to automate my database deployment process?




To use SSDT to automate your database deployment process, you can use the publish and deploy features in SSDT. These features allow you to generate a deployment script or a deployment package (DACPAC) that contains all the changes needed to update a target database from a source database or project. You can also integrate SSDT with Azure DevOps to enable continuous integration and delivery (CI/CD) pipelines for your database projects.


To use the publish feature, follow these steps:


  • In Visual Studio, open your database project or connect to your database in SQL Server Object Explorer.



  • Right-click on your project or database and select Publish from the context menu.



  • Select or create a publish profile that contains the settings for your target database such as connection string, deployment options, pre-deployment and post-deployment scripts, etc.



  • Click Publish to generate and execute a deployment script that will update your target database from your source project or database. Alternatively, you can click Generate Script to create a deployment script that you can run later.



To use the deploy feature, follow these steps:


  • In Visual Studio, open your database project or connect to your database in SQL Server Object Explorer.



  • Right-click on your project or database and select Deploy from the context menu.



  • Select a target database where you want to deploy your project or database.



  • Click Deploy to generate and execute a deployment script that will update your target database from your source project or database . Alternatively, you can click Generate Script to create a deployment script that you can run later.



To use Azure DevOps to automate your database deployment process, follow these steps:


  • Create an Azure DevOps account and a project if you don't have one already.



  • Push your database project to a Git repository in Azure DevOps or connect your existing repository to Azure DevOps.



  • Create a build pipeline that will build your database project and generate a deployment package (DACPAC) as an artifact.



  • Create a release pipeline that will deploy your DACPAC to your target database using the SQL Server Database Deploy task.



  • Configure triggers and variables for your pipelines as needed.



For more information, see the documentation. 44f88ac181


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