Pentaho 水壶：如何为转换/作业设置测试？

Question

I've been using Pentaho Kettle for quite a while and previously the transformations and jobs i've made (using spoon) have been quite simple load from db, rename etc, input to stuff to another db. But now i've been doing transformations that do a bit more complex calculations that i would now like to test somehow.

So what i would like to do is:

1. Setup some test data
2. Run the transformation
3. Verify result data

One option would probably be to make a Kettle test job that would test the transformation. But as my transformations relate to a java project i would prefer to run the tests from jUnit. So i've considered making a jUnit test that would:

1. Setup test data (using dbunit)
2. Run the transformation (using kitchen.sh from command line)
3. Verify result data (using dbunit)

This approach would however require test database(s) which are not always available (oracle etc. expensive/legacy db's) What I would prefer is that if I could mock or pass some stub test data to my input steps some how.

Any other ideas on how to test Pentaho kettle transformations?

Answer 1

there is a jira somewhere on jira.pentaho.com ( i dont have it to hand ) that requests exactly this - but alas it is not yet implemented.

So you do have the right solution in mind- I'd also add jenkins and an ant script to tie it all together. I've done a similar thing with report testing - I actually had a pentaho job load the data, then it executed the report, then it compared the output with known output and reported pass/failure.

Answer 2

If you separate out your kettle jobs into two phases:

• load data to stream
• process and update data

You can use copy rows to result at the end of your load data to stream step, and get rows from result to get rows at the start of your process step.

If you do this, then you can use any means to load data (kettle transform, dbunit called from ant script), and can mock up any database tables you want.

I use this for testing some ETL scripts I've written and it works just fine.

Answer 3

You can use the data validator step . Of course is not a full unit test suite, but i think sometimes will be useful to check the data integrity in a quick way. You can run more than several tests at once.

For a more "serious" test i will recommend the @codek answer and execute your kettles under Jenkins.