Book Image

Pentaho Data Integration 4 Cookbook

Book Image

Pentaho Data Integration 4 Cookbook

Overview of this book

Pentaho Data Integration (PDI, also called Kettle), one of the data integration tools leaders, is broadly used for all kind of data manipulation such as migrating data between applications or databases, exporting data from databases to flat files, data cleansing, and much more. Do you need quick solutions to the problems you face while using Kettle? Pentaho Data Integration 4 Cookbook explains Kettle features in detail through clear and practical recipes that you can quickly apply to your solutions. The recipes cover a broad range of topics including processing files, working with databases, understanding XML structures, integrating with Pentaho BI Suite, and more. Pentaho Data Integration 4 Cookbook shows you how to take advantage of all the aspects of Kettle through a set of practical recipes organized to find quick solutions to your needs. The initial chapters explain the details about working with databases, files, and XML structures. Then you will see different ways for searching data, executing and reusing jobs and transformations, and manipulating streams. Further, you will learn all the available options for integrating Kettle with other Pentaho tools. Pentaho Data Integration 4 Cookbook has plenty of recipes with easy step-by-step instructions to accomplish specific tasks. There are examples and code that are ready for adaptation to individual needs.
Table of Contents (17 chapters)
Pentaho Data Integration 4 Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Looking for values in a database with extreme flexibility


The Database join step that you learned to use in the previous recipe is quite powerful and has several advantages over the simple Database lookup step. There is a still more powerful step for searching in a database: The Dynamic SQL row step. This recipe explains to you its capabilities and shows you how to use it.

In order to let you compare the different options for searching in a database with ease, we will work with an example similar to that you saw in the previous two recipes: we will work with the Steel Wheels sample data. You want to look for the following products:

  • Products that contain Aston Martin in their description

  • Products that contain Ford Falcon in their name and with scale 1:18

  • Products that contain Corvette in their name and with scale 1:24

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...