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The CData JDBC Driver for PingOne 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 PingOne data as a JDBC data source and build jobs and transformations based on PingOne data in Pentaho Data Integration.
To connect to PingOne, configure these properties:
is the ID of the PingOne environment in which your Worker application resides. This parameter is used only when the environment is using the default PingOne domain (auth.pingone). It is configured after you have created the custom OAuth application you will use to authenticate to PingOne, as described in Creating a Custom OAuth Application in the Help documentation.
First, find the value for this property:
WorkerAppEnvironmentId='11e96fc7-aa4d-4a60-8196-9acf91424eca'
Now set to the value of the Environment ID field.
is the base URL of the PingOne authorization server for the environment where your application is located. This property is only used when you have set up a custom domain for the environment, as described in the PingOne platform API documentation. See Custom Domains.
PingOne supports both OAuth and OAuthClient authentication. In addition to performing the configuration steps described above, there are two more steps to complete to support OAuth or OAuthCliet authentication:
Set to OAuth.
Get and Refresh the OAuth Access Token
After setting the following, you are ready to connect:
When you connect, the driver opens PingOne's OAuth endpoint in your default browser. Log in and grant permissions to the application. The driver then completes the OAuth process:
The driver refreshes the access token automatically when it expires.
For other OAuth methods, including Web Applications, Headless Machines, or Client Credentials Grant, refer to the Help documentation.
For assistance in constructing the JDBC URL, use the connection string designer built into the PingOne JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.pingone.jar
Fill in the connection properties and copy the connection string to the clipboard.
π 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:pingone:AuthScheme=OAuth;WorkerAppEnvironmentId=eebc33a8-xxxx-4f3a-yyyy-d3e5262fd49e;Region=NA;OAuthClientId=client_id;OAuthClientSecret=client_secret;InitiateOAuth=GETANDREFRESH;
Save your connection string for use in Pentaho Data Integration.
Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for PingOne
jdbc:pingone:AuthScheme=OAuth;WorkerAppEnvironmentId=eebc33a8-xxxx-4f3a-yyyy-d3e5262fd49e;Region=NA;OAuthClientId=client_id;OAuthClientSecret=client_secret;InitiateOAuth=GETANDREFRESH;
Once the connection to PingOne is configured using the CData JDBC Driver, you are ready to create a new transformation or job.
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.
π A completed transformation/job.Download a free, 30-day trial of the CData JDBC Driver for PingOne and start working with your live PingOne data in Pentaho Data Integration today.
Download a free trial of the PingOne Driver to get started:
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