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Pentaho data integration kettle
Pentaho data integration kettle




  1. PENTAHO DATA INTEGRATION KETTLE INSTALL
  2. PENTAHO DATA INTEGRATION KETTLE CODE

Whereas, trans is the object of Trans class, which is used to get metadata of a transformation. ktr file and their corresponding values being “1” and “Rishu”. Here: PARAM_ID and PARAM_NAME are the two parameter names which i want to pass to my. You just need to define the Parameters to the “ setParameterValue(key, value)” method like below: PART I: Passing Parameters to Transformation (.ktr):

PENTAHO DATA INTEGRATION KETTLE CODE

I will extend my code from the above blog link and will add on to it. We can also do the same when we would be calling a Pentaho Job/Transformation using a java code. Tracking System for Bugs, Tasks and New Features for Pentaho Data Integration (PDI) also known as Kettle. Check the image below: Parameter Defining in Pentaho Kettle Pentaho Data Integration - Kettle - Pentaho Platform Tracking. In PDI, we use “Parameters” section to define all the parameters name and pass on the value to the respective jobs. You have the ability to dynamically pass the meta-data to any pentaho transformation/jobs. About Pentaho Data Integration (Kettle) Pentaho, a subsidiary of Hitachi Vantara, is. It provides intuitive, graphical, drag and drop design environment that has scalable standard based. Kettle is an acronym for 'Kettle E.T.T.L.

PENTAHO DATA INTEGRATION KETTLE INSTALL

Passing Parameter is one of the basic and important feature of Pentaho Data Integration/Kettle. The easiest way to install prefect is through the Python package installer. Pentaho Data Integration is a part of Pentaho Studio that delivers powerful Extraction, Transformation, and Loading (ETL) capabilities using meta-data driven approach. So in case you haven’t read the above blog, i suggest you have a look at-least once before you continue with this topic. Well, Ideally i should have covered this topic in my previous blog on “ Java and Pentaho Kettle | Executing a kettle File using Java“, but somehow i managed to miss this out.






Pentaho data integration kettle