Book Image

Pentaho 3.2 Data Integration: Beginner's Guide

Book Image

Pentaho 3.2 Data Integration: Beginner's Guide

Overview of this book

Pentaho Data Integration (a.k.a. Kettle) is a full-featured open source ETL (Extract, Transform, and Load) solution. Although PDI is a feature-rich tool, effectively capturing, manipulating, cleansing, transferring, and loading data can get complicated.This book is full of practical examples that will help you to take advantage of Pentaho Data Integration's graphical, drag-and-drop design environment. You will quickly get started with Pentaho Data Integration by following the step-by-step guidance in this book. The useful tips in this book will encourage you to exploit powerful features of Pentaho Data Integration and perform ETL operations with ease.Starting with the installation of the PDI software, this book will teach you all the key PDI concepts. Each chapter introduces new features, allowing you to gradually get involved with the tool. First, you will learn to work with plain files, and to do all kinds of data manipulation. Then, the book gives you a primer on databases and teaches you how to work with databases inside PDI. Not only that, you'll be given an introduction to data warehouse concepts and you will learn to load data in a data warehouse. After that, you will learn to implement simple and complex processes.Once you've learned all the basics, you will build a simple datamart that will serve to reinforce all the concepts learned through the book.
Table of Contents (27 chapters)
Pentaho 3.2 Data Integration Beginner's Guide
Credits
Foreword
The Kettle Project
About the Author
About the Reviewers
Preface
Index

Time for action – validating genres with a Regex Evaluation step


In this tutorial you will read the modified films file and validate the genres field.

  1. Create a new transformation.

  2. Read the modified films file just as you did in the previous tutorial.

  3. In the Content tab, check the Rownum in output? option and fill the Rownum fieldname with the text rownum.

  4. Do a preview. You should see this:

  5. After the Text file input step, add a Regex Evaluation step. You will find it under the Scripting category of steps.

  6. Under the Step settings box, select Genres as the Field to evaluate, and type genres_ok as the Result Fieldname.

  7. In the Regular expression textbox type [A-Za-z\s\-]*(\|[A-Za-z\s\-]*)* .

  8. Add the Filter rows step, an Add constants step, and two Text file output steps and link them as shown next:

  9. Edit the Add constants step.

  10. Add a String constant named err_code with value GEN_INV and a String constant named err_desc with value Invalid list of genres.

  11. Configure the Text file output step after the Add...