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ETL Validator provides data movement and transformation capabilities for integrating data platforms across your organization. CData's JDBC driver seamlessly integrates with ETL Validator and extends its native connectivity to include PingOne data.
This tutorial explains how to build a simple ETL validator data flow to extract data from PingOne data and load it into an example data storage solution: SQL Server.
CData extends ETL Validator's data connectivity capabilities by providing the ability to add data sources that connect via CData's JDBC drivers. Connecting to PingOne data simply requires creating a new data source in ETL Validator through CData's connectiviy suite as described below.
Begin by logging into ETL Validator to view the application dashboard.
π Access the ETL Validator dashboardCData extends the data source options within ETL Validator.
π Create a new DataSourceCData's connectivity is embedded within ETL Validator's data source options.
π CData data sourceYou will need a JDBC connection string to establish a connection to PingOne in ETL Validator.
π CData data sourceTo 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
π Using the built-in connection string designer to generate a JDBC URL (pingone is shown.)
A typical connection string looks like this:
jdbc:pingone:AuthScheme=OAuth;WorkerAppEnvironmentId=eebc33a8-xxxx-4f3a-yyyy-d3e5262fd49e;Region=NA;OAuthClientId=client_id;OAuthClientSecret=client_secret;InitiateOAuth=GETANDREFRESH;
To ensure the JDBC driver is licensed appropriately, copy the license file to the appropriate location:
Copy the JDBC Driver for PingOne and lic file from "C:\Program Files\CData[product_name]\lib" to "C:\Datagaps\ETLValidator\Server\apache-tomcat\bin".
cdata.jdbc.pingone.jar cdata.jdbc.pingone.lic
Note: If you do not copy the .lic file with the jar, you will see a licensing error that indicates you do not have a valid license installed. This is true for both the trial and full versions.
Should you encounter any difficulties loading the CData JDBC driver class, please contact DataGap's team, and they will provide you instructions on how to load the jar file for the relevant driver.
This example will use SQL Server as a destination for PingOne data data, but any preferred destination can be used instead.
This option is the default.
π Add SQL ServerThe details will depend on the specific target, but these details may include a URL, authentiation credentials, etc.
π Add SQL ServerConfigured data flows will appear in this window.
π Dataflows tabName your new dataflow and save it.
The details of the data movement will be configured in this panel.
π Dataflow diagramGive the new source an appropriate name and save it.
π Jira example sourceSelect the Table from the Schema option that reflects which data should be pulled from PingOne data.
The anticipated outcome of the configured query is displayed in the Result tab.
π Query resultsSelect Switch to Diagram, then drag & drop the DB Sink as a target from the right side (under Sink options). Give the sink an appropriate name and save it.
π Data sinkChoose the Schema and table that matches the structure of the source table. For this example, the table on the target side was created to match the Source so that data flow seamlessly. More advanced schema transformation operations are beyond the scope of this article.
π Destination schemaRunning the job will take some time.
π Destination schemaReturn to the diagram to see the finished data replication job from PingOne data to SQL Server.
π Full dataflowDownload a free, 30-day trial of the CData JDBC Driver for PingOne and start building PingOne-connected applications with ETL Validator. Reach out to our Support Team if you have any questions.
Download a free trial of the PingOne Driver to get started:
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