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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

Looking for values in a variety of sources


The first recipes in the chapter showed you how to look for additional information in a database. There are still many other sources of information. You may need to look in property files, in Excel files, in text files, and so on. Kettle allows you to look for data coming from all those sources with the Stream lookup step.

In this example, you have information about books coming from an Excel file and you need to complete this dataset by looking up the author's data and genre description, which are in external sources. In this case, the author's information is inside a text file and the genres are in a fixed predefined list.

Getting ready

For doing this recipe, you will need the following:

  • A CSV file (authors.txt) with the author's data. The file should have the following columns: lastname, firstname, nationality, and id_author. The following are sample lines of this file:

    "lastname","firstname","nationality","id_author"
    "Larsson","Stieg","Swedish",...
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