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

Splitting a stream into two or more streams based on a condition


In this recipe, you will learn to use the Filter rows step in order to split a single stream into different smaller streams. In the There's more section, you will also see alternative and more efficient ways for doing the same thing in different scenarios.

Let's assume that you have a set of outdoor products in a text file, and you want to differentiate the tents from other kind of products, and also create a subclassification of the tents depending on their prices.

Let's see a sample of this data:

id_product,desc_product,price,category
1,"Swedish Firesteel - Army Model",19,"kitchen"
2,"Mountain House #10 Can Freeze-Dried Food",53,"kitchen"
3,"Lodge Logic L9OG3 Pre-Seasoned 10-1/2-Inch Round Griddle",14,"kitchen"
...

Getting ready

To run this recipe, you will need a text file named outdoorProducts.txt with information about outdoor products. The file contains information about the category and price of each product.

How to do it...