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Learning Pentaho Data Integration 8 CE

You're reading from   Learning Pentaho Data Integration 8 CE An end-to-end guide to exploring, transforming, and integrating your data across multiple sources

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292436
Length 500 pages
Edition 3rd Edition
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Author (1):
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María Carina Roldán María Carina Roldán
Author Profile Icon María Carina Roldán
María Carina Roldán
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Table of Contents (17) Chapters Close

Preface 1. Getting Started with Pentaho Data Integration 2. Getting Started with Transformations FREE CHAPTER 3. Creating Basic Task Flows 4. Reading and Writing Files 5. Manipulating PDI Data and Metadata 6. Controlling the Flow of Data 7. Cleansing, Validating, and Fixing Data 8. Manipulating Data by Coding 9. Transforming the Dataset 10. Performing Basic Operations with Databases 11. Loading Data Marts with PDI 12. Creating Portable and Reusable Transformations 13. Implementing Metadata Injection 14. Creating Advanced Jobs 15. Launching Transformations and Jobs from the Command Line 16. Best Practices for Designing and Deploying a PDI Project

Executing transformations in an iterative way


If you have to execute the same Transformation several times, once for each row or subset of your data, you can do it by iterating the execution. This section shows you how to do it.

Using Transformation executors

The Transformation Executor is a PDI step that allows you to execute a Transformation several times simulating a loop. The executor receives a dataset, and then executes the Transformation once for each row or a set of rows of the incoming dataset.

To understand how this works, we will build a very simple example. The inner Transformation, that is, the Transformation that will be executed iteratively, will receive a row with a student code and a student name and will create a file with some message for the student. The main Transformation will generate a list of students and then it will execute the inner Transformation once for every student, that is, once for every row.

Let's start by creating the Transformation that will run iteratively...

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