Integrate Salesforce Data Cloud Data in Pentaho Data Integration

The CData JDBC Driver for Salesforce Data Cloud enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Salesforce Data Cloud data as a JDBC data source and build jobs and transformations based on Salesforce Data Cloud data in Pentaho Data Integration.

Configure to Salesforce Data Cloud Connectivity

Salesforce Data Cloud supports authentication via the OAuth standard.

OAuth

Set to OAuth.

Desktop Applications

CData provides an embedded OAuth application that simplifies authentication at the desktop.

You can also authenticate from the desktop via a custom OAuth application, which you configure and register at the Salesforce Data Cloud console. For further information, see Creating a Custom OAuth App in the Help documentation.

Before you connect, set these properties:

• : GETANDREFRESH. You can use to avoid repeating the OAuth exchange and manually setting the .
• (custom applications only): The Client ID assigned when you registered your custom OAuth application.
• (custom applications only): The Client Secret assigned when you registered your custom OAuth application.

When you connect, the driver opens Salesforce Data Cloud's OAuth endpoint in your default browser. Log in and grant permissions to the application.

The driver then completes the OAuth process as follows:

• Extracts the access token from the callback URL.
• Obtains a new access token when the old one expires.
• Saves OAuth values in so that they persist across connections.

For other OAuth methods, including Web Applications and Headless Machines, refer to the Help documentation.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Salesforce Data Cloud JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.salesforcedatacloud.jar

Fill in the connection properties and copy the connection string to the clipboard.

👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)


When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Below is a typical JDBC URL:

jdbc:salesforcedatacloud:InitiateOAuth=GETANDREFRESH;

Save your connection string for use in Pentaho Data Integration.

Connect to Salesforce Data Cloud from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for Salesforce Data Cloud

1. Click "General"
2. Set Connection name (e.g. Salesforce Data Cloud Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Salesforce Data Cloud connection string (e.g.
   

   jdbc:salesforcedatacloud:InitiateOAuth=GETANDREFRESH;

6. Set Custom driver class name to "cdata.jdbc.salesforcedatacloud.SalesforceDataCloudDriver" 👁 Configuring the JDBC Driver connection.
   
7. Test the connection and click "OK" to save. 👁 Saving the connection.
   

Create a Data Pipeline for Salesforce Data Cloud

Once the connection to Salesforce Data Cloud is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

1. Click "File" >> "New" >> "Transformation/job"
2. Drag a "Table input" object into the workflow panel and select your Salesforce Data Cloud connection. 👁 Configuring the Table input object
   
3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views. 👁 Selecting data (QuickBooks Online is shown).
   
4. Select a table and optionally preview the data for verification. 👁 Previewing the data (QuickBooks Online is shown).
   

At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

👁 A completed transformation/job.


Free Trial & More Information

Download a free, 30-day trial of the CData JDBC Driver for Salesforce Data Cloud and start working with your live Salesforce Data Cloud data in Pentaho Data Integration today.