Integrate Google Spanner Data in Pentaho Data Integration

The CData JDBC Driver for Google Spanner 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 Google Spanner data as a JDBC data source and build jobs and transformations based on Google Spanner data in Pentaho Data Integration.

Configure to Google Spanner Connectivity

Google Spanner uses the OAuth authentication standard. To authenticate using OAuth, you can use the embedded credentials or register an app with Google.

See the Getting Started guide in the CData driver documentation for more information.

Built-in Connection String Designer

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

java -jar cdata.jdbc.googlespanner.jar

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

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:googlespanner:ProjectId='project1';InstanceId='instance1';Database='db1';InitiateOAuth=GETANDREFRESH;

Save your connection string for use in Pentaho Data Integration.

Connect to Google Spanner from Pentaho DI

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

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

   jdbc:googlespanner:ProjectId='project1';InstanceId='instance1';Database='db1';InitiateOAuth=GETANDREFRESH;

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

Create a Data Pipeline for Google Spanner

Once the connection to Google Spanner 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 Google Spanner 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.

Free Trial & More Information

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