Microsoft Sql Tools For Mac

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APPLIES TO: SQL Server Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse

SQL Server Data Tools (SSDT) 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.

SQL Server Management Studio is not available for Mac but there are plenty of alternatives that runs on macOS with similar functionality. The most popular Mac alternative is DBeaver, which is both free and Open Source. If that doesn't suit you, our users have ranked 30 alternatives to SQL Server Management Studio and 16 are available for Mac so. SQL Server Data Tools. Easily build, debug, maintain, and refactor databases inside Visual Studio. SQL Server Data Tools (SSDT) introduces a declarative model that spans all the phases of database development—enabling continuous integration and deployment for your databases. For SQL Database projects, select SQL Server Data Tools under Data storage and processing in the list of workloads during installation. For Analysis Services, Integration Services, or Reporting Services projects, you can install the appropriate extensions from either Tools Extensions and Updates or from the Marketplace. SSDT for Visual Studio. Turn Visual Studio into a powerful development environment for SQL Server, Azure SQL Database and Azure SQL Data Warehouse. Visual Studio IDE Visual Studio for Mac Visual Studio Code. To continue downloading, click here. SQL Server Data Tools Visual Studio 2019-10-10T07:35:14-07:00. SQL Server Data Tools for Visual Studio.

SSDT for Visual Studio 2019

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Changes in SSDT for Visual Studio 2019

The core SSDT functionality to create database projects has remained integral to Visual Studio.

With Visual Studio 2019, the required functionality to enable Analysis Services, Integration Services, and Reporting Services projects has moved into the respective Visual Studio (VSIX) extensions only.

Note

There's no SSDT standalone installer for Visual Studio 2019.

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Install SSDT with Visual Studio 2019

If Visual Studio 2019 is already installed, you can edit the list of workloads to include SSDT.

  • For SQL Database projects, select SQL Server Data Tools under Data storage and processing.

  • For Analysis Services, Integration Services, or Reporting Services projects, you can install the appropriate extensions from either Tools > Extensions and Updates or from the Marketplace.

If you don’t have Visual Studio 2019 installed, then you can download and install Visual Studio 2019 Community.

  • For SQL Database projects, select SQL Server Data Tools under Data storage and processing in the list of workloads during installation.

  • For Analysis Services, Integration Services, or Reporting Services projects, you can install the appropriate extensions from either Tools > Extensions and Updates or from the Marketplace.

SSDT for Visual Studio 2017

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.

Now to create Analysis Services, Integration Services, or Reporting Services projects, you still need the SSDT standalone installer.

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 Analysis Services, Integration Services, and Reporting Services project support, run the SSDT standalone installer.

The installer lists available Visual Studio instances to add SSDT tools. If Visual Studio isn't already 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 (15.9.4), uninstall Analysis Services Projects and Reporting Services Projects extensions if they are already installed, and close all VS instances.
  • Removed the inbox component Power Query Source for SQL Server 2017. Now we have announced Power Query Source for SQL Server 2017 & 2019 as out-of-box component, which can be downloaded here.
  • To design packages using Oracle and Teradata connectors and targeting an earlier version of SQL Server prior to SQL 2019, in addition to the Microsoft Oracle Connector for SQL 2019 and Microsoft Teradata Connector for SQL 2019, you need to also install the corresponding version of Microsoft Connector for Oracle and Teradata by Attunity.

Release Notes

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

System requirements

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:

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 the VSIX extensions, then you must upgrade via the VSIX extensions. If you installed SSDT via a separate install, then you need to upgrade using that method.

Offline install

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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.

  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).

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.

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 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 (Linux only) Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse

This article shows how to use the mssql extension for Visual Studio Code to develop SQL Server databases. Because Visual Studio Code is cross-platform, you can use mssql extension on Linux, macOS, and Windows.

Install and start Visual Studio Code

Visual Studio Code is a cross-platform, graphical code editor that supports extensions.

  1. Download and install Visual Studio Code on your machine.

  2. Start Visual Studio Code.

    Note

    If Visual Studio Code does not start when you are connected through an xrdp remote desktop session, see VS Code not working on Ubuntu when connected using XRDP.

Install the mssql extension

The mssql extension for Visual Studio Code lets you connect to a SQL Server, query with Transact-SQL (T-SQL), and view the results.

  1. In Visual Studio Code, select View > Command Palette, or press Ctrl+Shift+P, or press F1 to open the Command Palette.

  2. In the Command Palette, select Extensions: Install Extensions from the dropdown.

  3. In the Extensions pane, type mssql.

  4. Select the SQL Server (mssql) extension, and then select Install.

  5. After the installation completes, select Reload to enable the extension.

Create or open a SQL file

The mssql extension enables mssql commands and T-SQL IntelliSense in the code editor when the language mode is set to SQL.

  1. Select File > New File or press Ctrl+N. Visual Studio Code opens a new Plain Text file by default.

  2. Select Plain Text on the lower status bar, or press Ctrl+K > M, and select SQL from the languages dropdown.

    Note

    If this is the first time you have used the extension, the extension installs supporting SQL Server tools.

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If you open an existing file that has a .sql file extension, the language mode is automatically set to SQL.

Connect to SQL Server

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Follow these steps to create a connection profile and connect to a SQL Server.

  1. Press Ctrl+Shift+P or F1 to open the Command Palette.

  2. Type sql to display the mssql commands, or type sqlcon, and then select MS SQL: Connect from the dropdown.

    Note

    A SQL file, such as the empty SQL file you created, must have focus in the code editor before you can execute the mssql commands.

  3. Select the MS SQL: Manage Connection Profiles command.

  4. Then select Create to create a new connection profile for your SQL Server.

  5. Follow the prompts to specify the properties for the new connection profile. After specifying each value, press Enter to continue.

    Connection propertyDescription
    Server name or ADO connection stringSpecify the SQL Server instance name. Use localhost to connect to a SQL Server instance on your local machine. To connect to a remote SQL Server, enter the name of the target SQL Server, or its IP address. To connect to a SQL Server container, specify the IP address of the container's host machine. If you need to specify a port, use a comma to separate it from the name. For example, for a server listening on port 1401, enter <servername or IP>,1401.
    As an alternative, you can enter the ADO connection string for your database here.
    Database name (optional)The database that you want to use. To connect to the default database, don't specify a database name here.
    Authentication TypeChoose either Integrated or SQL Login.
    User nameIf you selected SQL Login, enter the name of a user with access to a database on the server.
    PasswordEnter the password for the specified user.
    Save PasswordPress Enter to select Yes and save the password. Select No to be prompted for the password each time the connection profile is used.
    Profile Name (optional)Type a name for the connection profile, such as localhost profile.

    After you enter all values and select Enter, Visual Studio Code creates the connection profile and connects to the SQL Server.

    Tip

    If the connection fails, try to diagnose the problem from the error message in the Output panel in Visual Studio Code. To open the Output panel, select View > Output. Also review the connection troubleshooting recommendations.

  6. Verify your connection in the lower status bar.

As an alternative to the previous steps, you can also create and edit connection profiles in the User Settings file (settings.json). To open the settings file, select File > Preferences > Settings. For more information, see Manage connection profiles.

Create a SQL database

  1. In the new SQL file that you started earlier, type sql to display a list of editable code snippets.

  2. Select sqlCreateDatabase.

  3. In the snippet, type TutorialDB to replace 'DatabaseName':

  4. Press Ctrl+Shift+E to execute the Transact-SQL commands. View the results in the query window.

    Tip

    You can customize the shortcut keys for the mssql commands. See Customize shortcuts.

Create a table

  1. Delete the contents of the code editor window.

  2. Press Ctrl+Shift+P or F1 to open the Command Palette.

  3. Type sql to display the mssql commands, or type sqluse, and then select the MS SQL: Use Database command.

  4. Select the new TutorialDB database.

  5. In the code editor, type sql to display the snippets, select sqlCreateTable, and then press Enter.

  6. In the snippet, type Employees for the table name.

  7. Press Tab to get to the next field, and then type dbo for the schema name.

  8. Replace the column definitions with the following columns:

  9. Press Ctrl+Shift+E to create the table.

Insert and query

  1. Add the following statements to insert four rows into the Employees table.

    While you type, T-SQL IntelliSense helps you to complete the statements:

    Tip

    The mssql extension also has commands to help create INSERT and SELECT statements. These were not used in the previous example.

  2. Press Ctrl+Shift+E to execute the commands. The two result sets display in the Results window.

View and save the result

  1. Select View > Editor Layout > Flip Layout to switch to a vertical or horizontal split layout.

  2. Select the Results and Messages panel headers to collapse and expand the panels.

    Tip

    You can customize the default behavior of the mssql extension. See Customize extension options.

  3. Select the maximize grid icon on the second result grid to zoom in to those results.

    Note

    The maximize icon displays when your T-SQL script produces two or more result grids.

  4. Open the grid context menu by right-clicking on the grid.

  5. Select Select All.

  6. Open the grid context menu again and select Save as JSON to save the result to a .json file.

  7. Specify a file name for the JSON file.

  8. Verify that the JSON file saves and opens in Visual Studio Code.

If you need to save and run SQL scripts later, for administration or a larger development project, save the scripts with a .sql extension.

Next steps

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If you're new to T-SQL, see Tutorial: Write Transact-SQL statements and the Transact-SQL Reference (Database Engine).

For more information on using or contributing to the mssql extension, see the mssql extension project wiki.

For more information on using Visual Studio Code, see the Visual Studio Code documentation.