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APPLIES TO: SQL Server Azure SQL Database Azure SQL Data Warehouse Parallel Data Warehouse

SQL Server Data Tools is a modern development tool for building SQL Server relational databases, Azure SQL databases, Analysis Services (AS) data models, Integration Services (IS) packages, and Reporting Services (RS) reports. With SSDT, you can design and deploy any SQL Server content type with the same ease as you would develop an application in Visual Studio.

Changes in SSDT for Visual Studio 2019

With Visual Studio 2019, the required functionality to enable Analysis Services, Integration Services, and Reporting Services projects has moved into the respective Visual Studio extensions. The core SSDT functionality to create Database Projects has remained integral to Visual Studio (you need to select the Data storage, and processing workload during install). There's no more standalone SSDT installation required.

If you already have a license to Visual Studio 2019:

  • For SQL Database Projects, install the Data storage and Processing workload for Visual Studio
  • For Analysis Services, Integration Services or Reporting Services projects, install the appropriate extension(s) from the marketplace

If you don’t already have a license to Visual Studio 2019:

  • Install Visual Studio 2019 Community
  • Install the Analysis Services, Integration Services, or Reporting Services extension as appropriate

Changes in SSDT for Visual Studio 2017

Starting with Visual Studio 2017, the functionality of creating Database Projects has been integrated into the Visual Studio installation. There's no need to install the SSDT standalone installer for the core SSDT experience. To create Integration Services/Analysis Services/Reporting Services projects, you still need the SSDT standalone installer.

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  • For Database Projects, install the Data Storage and Processing workload for Visual Studio
  • For Analysis Services, Integration Services or Reporting Services projects, download and install SQL Server Data Tools

Install SSDT with Visual Studio 2017

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, you can edit the list of workloads to include SSDT:

Install Analysis Services, Integration Services, and Reporting Services tools

To install AS, IS, and RS project support, run the SSDT standalone installer.

The installer lists available Visual Studio instances to add the SSDT tools to. If Visual Studio isn't installed, selecting Install a new SQL Server Data Tools instance installs SSDT with a minimal version of Visual Studio, but for the best experience, we recommend using SSDT with the latest version of Visual Studio.

SSDT for VS 2017 (standalone installer)

Important

  • Before installing SSDT for Visual Studio 2017 (15.9.2), uninstall Analysis Services Projects and Reporting Services Projects extensions if they are already installed, and close all VS instances.
  • Please use SSDT for Visual Studio 2017 (15.8.0) or the previous versions for designing SSIS packages that contain Teradata Source/Destination. SSDT for Visual Studio 2017 after 15.8.0 can’t design SSIS packages that contain Teradata Source/Destination by Attunity.

Version Information

Release number: 15.9.2Build Number: 14.0.16194.0Release date: July 17, 2019

For a complete list of changes, see the Release notes for SQL Server Data Tools (SSDT).

SSDT for Visual Studio 2017 has the same system requirements as Visual Studio.

Available Languages - SSDT for VS 2017

This release of SSDT for VS 2017 can be installed in the following languages:

Offline install

To install SSDT when you’re not connected to the internet, follow the steps in this section. For more information, see Create a network installation of Visual Studio 2017.

First, complete the following steps while online:

  1. Download the SSDT standalone installer.

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  2. Download vs_sql.exe.

  3. While still online, execute one of the following commands to download all the files required for installing offline. Using the --layout option is the key, it downloads the actual files for the offline installation. Replace <filepath> with the actual layouts path to save the files.

    1. For a specific language, pass the locale: vs_sql.exe --layout c:<filepath> --lang en-us (a single language is ~1 GB).
    2. For all languages, omit the --lang argument: vs_sql.exe --layout c:<filepath> (all languages are ~3.9 GB).

  4. Execute SSDT-Setup-ENU.exe /layout c:<filepath> to extract the SSDT payload into the same <filepath> location where the VS2017 files were downloaded. This action ensures that all files from both are combined into a single layouts folder.

After completing the previous steps, the following steps below can be done offline:

  1. Run vs_setup.exe --NoWeb to install the VS2017 Shell and SQL Server Data Project.
  2. From the layouts folder run SSDT-Setup-ENU.exe /install and select SSIS/SSRS/SSAS.
    • For an unattended installation, run SSDT-Setup-ENU.exe /INSTALLALL[:vsinstances] /passive.

For available options, run SSDT-Setup-ENU.exe /help

Note

If using a full version of Visual Studio 2017, create an offline folder for SSDT only, and run SSDT-Setup-ENU.exe from this newly created folder (don’t add SSDT to another Visual Studio 2017 offline layout). If you add the SSDT layout to an existing Visual Studio offline layout, the necessary runtime (.exe) components are not created there.

Considerations and limitations

  • You can’t install the community version offline
  • To upgrade SSDT, you need to follow the same path used to install SSDT. For example, if you added SSDT using VSIX, then upgrade via VSIX. If you installed SSDT via a separate install, then you need to upgrade using that method.

Supported SQL versions

Project TemplatesSQL Platforms Supported
Relational databasesSQL Server 2005* - SQL Server 2017
(use SSDT 17.x or SSDT for Visual Studio 2017 to connect to SQL Server on Linux)
Azure SQL Database
Azure SQL Data Warehouse (supports queries only; database projects aren't yet supported)
* SQL Server 2005 support is deprecated,
move to an officially supported SQL version
Analysis Services models
Reporting Services reports		SQL Server 2008 - SQL Server 2017
Integration Services packagesSQL Server 2012 - SQL Server 2019

DacFx

SSDT for Visual Studio 2015, and SSDT for Visual Studio 2017 both use DacFx 17.4.1: Download Data-Tier Application Framework (DacFx) 17.4.1.

Previous versions

To download and install SSDT for Visual Studio 2015, or an older version of SSDT, see Previous releases of SQL Server Data Tools (SSDT and SSDT-BI).

Next steps

After installing SSDT, work through these tutorials to learn how to create databases, packages, data models, and reports using SSDT:

Get Help

See Also

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APPLIES TO: SQL Server Azure SQL Database Azure SQL Data Warehouse Parallel Data Warehouse

AdventureWorks download links and installation instructions.

Prerequisites

  • SQL Server or Azure SQL Database. For the Full version of the sample, use SQL Server Evaluation/Developer/Enterprise Edition.
  • SQL Server Management Studio. For the best results use the June 2016 release or later.

Github links

OLTP downloads

Direct links to the OLTP versions of AdventureWorks can be found below:

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Data Warehouse downloads

Direct links to the Data Warehouse versions of AdventureWorks can be found below:

Creation scripts

Sql 2012 Management Studio Download

The below scripts can be used to create the entire AdventureWorks database, irrespective of version.

Install to SQL Server

Restore backup

Follow the below steps to restore a backup of your database using SQL Server Management Studio.

  1. Open SQL Server Management Studio and connect to the target SQL Server instance.
  2. Right-click on the Databases node, and select Restore Database.
  3. Select Device and click the ellipses (..)
  4. In the dialog Select backup devices, click Add, navigate to the database backup in the filesystem of the server, and select the backup. Click OK.
  5. If needed, change the target location for the data and log files, in the Files pane. Note that it is best practice to place data and log files on different drives.
  6. Click OK. This will initiate the database restore. After it completes, you will have the AdventureWorks database installed on your SQL Server instance.

For more information on restoring a SQL Server database, see Restore a database backup using SSMS.

Attach a datafile

Follow the below steps to attach the datafile for your database using SQL Server Management Studio.

  1. Open SQL Server Management Studio and connect to the target SQL Server instance.
  2. Right-click on the Databases node, and select Attach.
  3. Select Add and navigate to the .MDF file you want to attach.
  4. Select the file and click OK.
    1. The database you selected should be displayed in the bottom window. If the file is listed as 'not found', select the ellipses (..) next to the file name and update the path to the correct path.
    2. If you only have the data file (.mdf), and not the log file (.ldf), then highlight the .ldf in the bottom window and select Remove. This will create a new log file.
  5. Select OK to attach the file. After the file is attached, you will have the AdventureWorks database installed on your SQL Server instance.

For more information on attaching database files, see Attach a database.

Install to Azure SQL Database

If you do not yet have a SQL Server in Azure, navigate to the Azure portal and create a new SQL Database. In the process of create a database, you will create a server. Make note of the server. See this tutorial to create a database in minutes.

  1. Connect to your Azure portal.
  2. Select Create a resource in the top left of the navigation pane.
  3. Select Databases and then select SQL Database.
  4. Fill in the requested information.
  5. In the Select Source field, select Sample (AdventureWorksLT) to restore a backup of the latest AdventureWorksLT backup.
  6. Select Create to create your new SQL Database, which is the restored copy of the AdventureWorksLT database.

See also

Tutorials for SQL Server Management Studio
Tutorials for SQL Server database engine