SnapLogic's iPaaS platform helps organizations automate application, data and cloud integrations. When paired with CData Connect AI, SnapLogic gets access to live HCL Domino data. This article demonstrates how to connect to HCL Domino using Connect AI and integrate with HCL Domino data in SnapLogic.
CData Connect AI provides a pure SQL Server interface for HCL Domino, allowing you to query data from HCL Domino without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to HCL Domino, leveraging server-side processing to return the requested HCL Domino data quickly.
Configure HCL Domino Connectivity for SnapLogic
Connectivity to HCL Domino from SnapLogic is made possible through CData Connect AI. To work with HCL Domino data from SnapLogic, we start by creating and configuring a HCL Domino connection.
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Log into Connect AI, click Sources, and then click Add Connection
π Adding a Connection
- Select "HCL Domino" from the Add Connection panel
π Selecting a data source
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Enter the necessary authentication properties to connect to HCL Domino.
Connecting to Domino
To connect to Domino data, set the following properties:
- URL: The host name or IP of the server hosting the Domino database. Include the port of the server hosting the Domino database. For example: http://sampleserver:1234/
- DatabaseScope: The name of a scope in the Domino Web UI. The driver exposes forms and views for the schema governed by the specified scope. In the Domino Admin UI, select the Scopes menu in the sidebar. Set this property to the name of an existing scope.
Authenticating with Domino
Domino supports authenticating via login credentials or an Entra ID (formerly Azure AD) OAuth application:
Login Credentials
To authenticate with login credentials, set the following properties:
- AuthScheme: Set this to "OAuthPassword"
- User: The username of the authenticating Domino user
- Password: The password associated with the authenticating Domino user
The driver uses the login credentials to automatically perform an OAuth token exchange.
EntraID (formerly AzureAD)
This authentication method uses Entra ID (formerly Azure AD) as an IdP to obtain a JWT token. You need to create a custom OAuth application in Entra ID (formerly Azure AD) and configure it as an IdP. To do so, follow the instructions in the Help documentation. Then set the following properties:
π Configuring a connection (Salesforce is shown)
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Click Save & Test
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Navigate to the Permissions tab in the Add HCL Domino Connection page and update the User-based permissions.
π Updating permissions
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
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Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
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On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
π Creating a new PAT
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The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to HCL Domino data from SnapLogic.
Connect to HCL Domino from SnapLogic using Connect AI
To establish a connection from SnapLogic to CData Connect AI, you will need to download the CData Connect AI JDBC Driver.
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Open the Integrations page of CData Connect AI.
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Search for and select JDBC.
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Download and run the setup file.
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When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
After copying the JDBC CData Connect AI JAR file, you will need to paste it into the SnapLogic installation location and configure the connection to Connect AI.
- Log into SnapLogic.
- Click the Managers tab.
- Select a folder from the Project Spaces to add the JDBC JAR file to.
π Selecting the hosting folder for the JAR file.
- Click the Files tab.
π Navigating to the 'Files' tab.
- Click the button in the top right to upload the CData Connect AI JDBC JAR file. It appears as a file once uploaded.
π Adding the JDBC Driver JAR
- Click the Designer tab.
- Click JDBC to expand the options for "snaps."
- Click and drag a Generic JDBC - Select "snap" onto the designer.
π Using a 'Select' snap.
- Click Add Account > Continue.
- Enter the JDBC connection properties.
- JDBC driver: add the CData Connect AI JAR file
- JDBC driver Class: enter cdata.jdbc.connect.ConnectDriver
- JDBC Url: enter a JDBC connection string for the JDBC driver. For example: jdbc:connect:AuthScheme=Basic;User={username};Password={PAT};
- Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
- Password: enter the PAT you generated previously.
π Configuring the connection to CData Connect AI.
- Click Validate. If the connection succeeds, the "snap" is ready to use.
- Click Apply.
You can now create reports with the connected data.
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