Deploy an SSIS project from Visual Studio Code with Transact-SQL
This quickstart demonstrates how to use Visual Studio Code to connect to the SSIS Catalog database, and then use Transact-SQL statements to deploy an SSIS project to the SSIS Catalog.
Visual Studio Code is a code editor for Windows, macOS, and Linux that supports extensions, including the
mssql extension for connecting to Microsoft SQL Server, Azure SQL Database, or Azure Synapse Analytics. For more info about VS Code, see Visual Studio Code.
Before you start, make sure you have installed the latest version of Visual Studio Code and loaded the
mssql extension. To download these tools, see the following pages:
You can use the information in this quickstart to deploy an SSIS project to the following platforms:
- SQL Server on Windows.
You cannot use the information in this quickstart to deploy an SSIS package to Azure SQL Database. The
catalog.deploy_project stored procedure expects path to the
.ispac file in the local (on premises) file system. For more info about deploying and running packages in Azure, see Lift and shift SQL Server Integration Services workloads to the cloud.
You cannot use the information in this quickstart to deploy an SSIS package to SQL Server on Linux. For more info about running packages on Linux, see Extract, transform, and load data on Linux with SSIS.
Set language mode to SQL in VS Code
mssql commands and T-SQL IntelliSense, set the language mode to SQL in Visual Studio Code.
Open Visual Studio Code and then open a new window.
Click Plain Text in the lower right-hand corner of the status bar.
In the Select language mode drop-down menu that opens, select or enter SQL, and then press ENTER to set the language mode to SQL.
Supported authentication method
Refer to authentication methods for deployment.
Connect to the SSIS Catalog database
Use Visual Studio Code to establish a connection to the SSIS Catalog.
In VS Code, press CTRL+SHIFT+P (or F1) to open the Command Palette.
Type sqlcon and press ENTER.
Press ENTER to select Create Connection Profile. This step creates a connection profile for your SQL Server instance.
Follow the prompts to specify the connection properties for the new connection profile. After specifying each value, press ENTER to continue.
Setting Suggested value More info Server name The fully qualified server name Database name SSISDB The name of the database to which to connect. Authentication SQL Login User name The server admin account This account is the account that you specified when you created the server. Password (SQL Login) The password for your server admin account This password is the password that you specified when you created the server. Save Password? Yes or No If you do not want to enter the password each time, select Yes. Enter a name for this profile A profile name, such as mySSISServer A saved profile name speeds your connection on subsequent logins.
Press the ESC key to close the info message that informs you that the profile is created and connected.
Verify your connection in the status bar.
Run the T-SQL code
Run the following Transact-SQL code to deploy an SSIS project.
In the Editor window, enter the following query in the empty query window.
Update the parameter values in the
catalog.deploy_projectstored procedure for your system.
Press CTRL+SHIFT+E to run the code and deploy the project.
DECLARE @ProjectBinary AS varbinary(max) DECLARE @operation_id AS bigint SET @ProjectBinary = (SELECT * FROM OPENROWSET(BULK '<project_file_path>.ispac', SINGLE_BLOB) AS BinaryData) EXEC catalog.deploy_project @folder_name = '<target_folder>', @project_name = '<project_name', @Project_Stream = @ProjectBinary, @operation_id = @operation_id out
- Consider other ways to deploy a package.
- Run a deployed package. To run a package, you can choose from several tools and languages. For more info, see the following articles: