Book Image

Pentaho Data Integration Cookbook - Second Edition - Second Edition

Book Image

Pentaho Data Integration Cookbook - Second Edition - Second Edition

Overview of this book

Pentaho Data Integration is the premier open source ETL tool, providing easy, fast, and effective ways to move and transform data. While PDI is relatively easy to pick up, it can take time to learn the best practices so you can design your transformations to process data faster and more efficiently. If you are looking for clear and practical recipes that will advance your skills in Kettle, then this is the book for you. Pentaho Data Integration Cookbook Second Edition guides you through the features of explains the Kettle features in detail and provides easy to follow recipes on file management and databases that can throw a curve ball to even the most experienced developers. Pentaho Data Integration Cookbook Second Edition provides updates to the material covered in the first edition as well as new recipes that show you how to use some of the key features of PDI that have been released since the publication of the first edition. You will learn how to work with various data sources – from relational and NoSQL databases, flat files, XML files, and more. The book will also cover best practices that you can take advantage of immediately within your own solutions, like building reusable code, data quality, and plugins that can add even more functionality. Pentaho Data Integration Cookbook Second Edition will provide you with the recipes that cover the common pitfalls that even seasoned developers can find themselves facing. You will also learn how to use various data sources in Kettle as well as advanced features.
Table of Contents (21 chapters)
Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
References
Index

Looking for values in a database with complex conditions


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. 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. The code to generate this database is available from several locations, as mentioned in Chapter 1, Working with Databases.

How to do it...

Perform the following steps:

  1. Create a new transformation.

  2. Add a Data Grid step that generates a dataset like the one shown in the following...