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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 complex conditions or multiple tables involved)


In the previous recipe, you saw how to search for columns in a database table based on simple conditions. With Kettle, you can also search by providing complex conditions or involving more than one table. In this recipe, you will learn how to perform that kind of search by using the Database join step.

In order to let you compare the different options for searching data in a database with ease, we will work with the same example that you saw in the preceding recipe: the Steel Wheels sample data. You want to look for products that match a given search term and whose prices are below a given value.

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 a dataset like the one shown in the following screenshot:

    Tip

    You can type the data into a file and read the file, or use a Data Grid...

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