Integrate BugHerd Data in Pentaho Data Integration

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

Configure to BugHerd Connectivity

Start by setting the Profile connection property to the location of the BugHerd Profile on disk (e.g. C:\profiles\BugHerd.apip). Next, set the ProfileSettings connection property to the connection string for BugHerd (see below).

BugHerd API Profile Settings

BugHerd uses HTTP Basic authentication with an API key as the username. To obtain an API key:

1. Sign in to your BugHerd account at https://www.bugherd.com
2. Navigate to Settings > General Settings
3. Locate the API Key section and copy the generated key

After obtaining your API key, set the following connection properties:

• AuthScheme: Set this to APIKey.

Set the following in the ProfileSettings connection property:

• APIKey: Set this to your BugHerd API key. The driver uses the key as the Basic auth username and sets the password internally to the literal value 'x' as required by BugHerd.

Built-in Connection String Designer

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

java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\BugHerd.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';

Save your connection string for use in Pentaho Data Integration.

Connect to BugHerd from Pentaho DI

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

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

   jdbc:api:Profile=C:\profiles\BugHerd.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';

6. Set Custom driver class name to "cdata.jdbc.api.APIDriver"
7. Test the connection and click "OK" to save.

Create a Data Pipeline for BugHerd

Once the connection to BugHerd 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 BugHerd 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 API Driver for JDBC and start working with your live BugHerd data in Pentaho Data Integration today.