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Pentaho Data Integration Cookbook - Second Edition

You're reading from   Pentaho Data Integration Cookbook - Second Edition The premier open source ETL tool is at your command with this recipe-packed cookbook. Learn to use data sources in Kettle, avoid pitfalls, and dig out the advanced features of Pentaho Data Integration the easy way.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781783280674
Length 462 pages
Edition 2nd Edition
Languages
Tools
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Table of Contents (21) Chapters Close

Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Working with Databases FREE CHAPTER 2. Reading and Writing Files 3. Working with Big Data and Cloud Sources 4. Manipulating XML Structures 5. File Management 6. Looking for Data 7. Understanding and Optimizing Data Flows 8. Executing and Re-using Jobs and Transformations 9. Integrating Kettle and the Pentaho Suite 10. Getting the Most Out of Kettle 11. Utilizing Visualization Tools in Kettle 12. Data Analytics Data Structures References 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, for example:

name
Paul
Santiago
Lourdes
Anna

For each person, you want to do the following:

  • 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), 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...

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