Pentaho Data Integration ( ETL ) a.k.a Kettle

• assemblies: Project distribution archive is produced under this module
• core: Core implementation
• dbdialog: Database dialog
• ui: User interface
• engine: PDI engine
• engine-ext: PDI engine extensions
• plugins: PDI core plugins
• integration: Integration tests

Pentaho Data Integration uses the maven framework.

• Maven, version 3+
• Java JDK 1.8
• This settings.xml in your /.m2 directory

This is a maven project, and to build it use the following command

$ mvn clean install

Optionally you can specify -Drelease to trigger obfuscation and/or uglification (as needed)

Optionally you can specify -Dmaven.test.skip=true to skip the tests (even though you shouldn't as you know)

The build result will be a Pentaho package located in target.

Unit tests

This will run all unit tests in the project (and sub-modules). To run integration tests as well, see Integration Tests below.

$ mvn test

If you want to remote debug a single java unit test (default port is 5005):

$ cd core
$ mvn test -Dtest=<<YourTest>> -Dmaven.surefire.debug

Integration tests

In addition to the unit tests, there are integration tests that test cross-module operation. This will run the integration tests.

$ mvn verify -DrunITs

To run a single integration test:

$ mvn verify -DrunITs -Dit.test=<<YourIT>>

To run a single integration test in debug mode (for remote debugging in an IDE) on the default port of 5005:

$ mvn verify -DrunITs -Dit.test=<<YourIT>> -Dmaven.failsafe.debug

To skip test

$ mvn clean install -DskipTests

To get log as text file

$ mvn clean install test >log.txt

IntelliJ

• Don't use IntelliJ's built-in maven. Make it use the same one you use from the commandline.
  • Project Preferences -> Build, Execution, Deployment -> Build Tools -> Maven ==> Maven home directory

1. Submit a pull request, referencing the relevant Jira case
2. Attach a Git patch file to the relevant Jira case

Use of the Pentaho checkstyle format (via mvn site and reviewing the report) and developing working Unit Tests helps to ensure that pull requests for bugs and improvements are processed quickly.