Establishing a Connection
Enabling SSIS in Visual Studio 2022
If you're using Visual Studio 2022, you will need to install the SQL Server Integration Services Projects extension to use SSIS.
- Navigate to Extensions > Manage Extensions.
- In the Manage Extensions window's search box, search for "SQL Server Integration Services Projects 2022" and select the extension in the list.
- Click Download.
- Close Visual Studio and run the downloaded Microsoft.DataTools.IntegrationServices.exe installer. Proceed through the installer with default settings.
- Open Visual Studio. There should now be an "Integration Services Project" project template available.
Adding the REST Connection Manager
Create a new connection manager as follows:
- Create a Visual Studio project with the "Integration Services Project" template.
- In the project, right-click within the Connection Managers window and select New Connection from the menu.
- In the Description column, select CData REST Connection Manager and click Add...
- Configure the component as described in the next section.
Alternatively, if you have an existing project and CData REST Source or CData REST Destination:
- Right-click your CData REST source or destination component in your data flow
- Select Edit... to open an editor window.
- Click the New... button next to the Connection manager: dropdown selector to create a connection manager.
- Configure the component as described in the next section.
Modeling XML/JSON/CSV Data
The DataModel property controls how your data is represented into tables.
- Document (default): Model a top-level, document view of your REST data. The component returns nested object arrays as aggregated XML/JSON/CSV objects.
- FlattenedDocuments: Implicitly join nested array objects and parent objects into a single table.
- Relational: View nested object arrays as individual, related tables containing a primary key and a foreign key that links to the parent document.
Set Format to XML, JSON, or CSV in accordance with the data structuring standard used by the REST source you want to connect to. and set DataModel to more closely match the data representation to the structure of your data.
Next Steps
- See Modeling REST Data for information on customizing schema discovery and executing SQL to REST.
- See Fine-Tuning Data Access for more advanced connection settings: fine-tune the default data modeling settings, connect through a firewall, or troubleshoot connections.