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 – getting orders in a range of dates by using variables


In this tutorial you will do the same as you did in the previous tutorial, but another method will be explained to you.

  1. Open the main transformation we created in the Time for action–getting data about shipped orders section and save it under a new name.

  2. Double-click the Table input step.

  3. Modify the SELECT statement as follows:

    	SELECT
    	  ORDERNUMBER
    	, ORDERDATE
    	, REQUIREDDATE
    	, SHIPPEDDATE
    	FROM ORDERS
    	WHERE STATUS = 'Shipped'
    	AND ORDERDATE BETWEEN '${DATE_FROM}' AND '${DATE_TO}'
    
  4. Tick the Replace variables in script? checkbox.

  5. Save the transformation.

  6. With the Select values step selected, click the Preview button.

  7. Click on Configure.

  8. Fill the Variables grid in the settings dialog window—type 2004-12-01 to the right of the DATE_FROM option and 2004-12-10 to the right of the DATE_TO option.

  9. Click OK. This following window appears:

What just happened?

You modified the transformation from the previous tutorial, so the range...