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

Creating a Pentaho report directly from PDI


Reports are usually very useful when they are processed as needed for given parameters. Sometimes those parameters are dynamically generated at runtime and are not necessarily known to a user. For this recipe, we will be using the built-in functionality of PDI to process the report created in the previous recipe to find the current weather for a given set of cities.

Getting ready

Before continuing this exercise, you will need the forecast.prpt report created in the last recipe. This can be obtained either through Packt's website or by creating the report as per the previous recipe in this chapter.

How to do it...

Follow the steps to generate reports within PDI:

  1. Create a new transformation.

  2. Add Data Grid to the canvas from the pallet. Add two fields:

    • city, type: String

    • scale, type: String

  3. On the Data tab, add a few cities and a scale of either C or F.

  4. Add an Add constants step to the canvas. There will be one field in this step:

    • Name: report_file

    • Type: String...