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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 database with extreme flexibility


The Database join step that you learned to use in the previous recipe is quite powerful and has several advantages over the simple Database lookup step. There is a still more powerful step for searching in a database: The Dynamic SQL row step. This recipe explains to you its capabilities and shows you how to use it.

In order to let you compare the different options for searching in a database with ease, we will work with an example similar to that you saw in the previous two recipes: we will work with the Steel Wheels sample data. You want to look for the following products:

  • Products that contain Aston Martin in their description

  • Products that contain Ford Falcon in their name and with scale 1:18

  • Products that contain Corvette in their name and with scale 1:24

Getting ready

In order to follow this recipe, you need the Steel Wheels database.

How to do it...

Carry out the following steps:

  1. Create a new transformation.

  2. Create a stream that generates...

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