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Pentaho Data Integration 4 Cookbook

You're reading from   Pentaho Data Integration 4 Cookbook Over 70 recipes to solve ETL problems using Pentaho Kettle

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Product type Paperback
Published in Jun 2011
Publisher Packt
ISBN-13 9781849515245
Length 352 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (17) Chapters Close

Pentaho Data Integration 4 Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Working with Databases FREE CHAPTER 2. Reading and Writing Files 3. Manipulating XML Structures 4. File Management 5. Looking for Data 6. Understanding Data Flows 7. Executing and Reusing Jobs and Transformations 8. Integrating Kettle and the Pentaho Suite 9. Getting the Most Out of Kettle Data Structures Index

Executing part of a job once for every row in a dataset


Assume that you have a list of things or entities such as students, files, dates, products, and so on. Now, suppose that you want to execute a group of job entries once for every entity in that list.

Suppose that you have a file with a list of names, as for example:

name
Paul
Santiago
Lourdes
Anna

For each person, you want to:

  • Generate a file saying hello to that person

  • Wait for 2 seconds

  • Write a message to the log

For a single person, these tasks can be done with a couple of entries. If you have a small known list of entities (persons in this example), then you could copy and paste that group of entries, once for each. On the other hand, if the list is long, or you do not know the values in advance, there is another way to achieve this. This recipe shows you how.

Getting ready

For this recipe, we will use the Hello transformation described in the introduction.

The destination folder for the file that is generated is in a variable named ${OUTPUT_FOLDER...

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