Integrate Confluence Data in Pentaho Data Integration

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

Configure to Confluence Connectivity

Obtaining an API Token

An API token is necessary for account authentication. To generate one, login to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

Connect Using a Confluence Cloud Account

To connect to a Cloud account, provide the following (Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.):

• User: The user which will be used to authenticate with the Confluence server.
• APIToken: The API Token associated with the currently authenticated user.
• Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.

Connect Using a Confluence Server Instance

To connect to a Server instance, provide the following:

• User: The user which will be used to authenticate with the Confluence instance.
• Password: The password which will be used to authenticate with the Confluence server.
• Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.

Built-in Connection String Designer

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

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:

Save your connection string for use in Pentaho Data Integration.

Connect to Confluence from Pentaho DI

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

1. Click "General"
2. Set Connection name (e.g. Confluence Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your Confluence connection string (e.g.
   jdbc:confluence:User=admin;APIToken=myApiToken;Url=https://yoursitename.atlassian.net;Timezone=America/New_York;
6. Set Custom driver class name to "cdata.jdbc.confluence.ConfluenceDriver"
7. Test the connection and click "OK" to save.

Create a Data Pipeline for Confluence

Once the connection to Confluence 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 Confluence connection.
3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
4. Select a table and optionally preview the data for verification.

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 Confluence and start working with your live Confluence data in Pentaho Data Integration today.