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Pentaho Data Integration Cookbook - Second Edition - Second Edition

You're reading from  Pentaho Data Integration Cookbook - Second Edition - Second Edition

Product type Book
Published in Dec 2013
Publisher Packt
ISBN-13 9781783280674
Pages 462 pages
Edition 2nd Edition
Languages

Table of Contents (21) Chapters

Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Working with Databases Reading and Writing Files Working with Big Data and Cloud Sources Manipulating XML Structures File Management Looking for Data Understanding and Optimizing Data Flows Executing and Re-using Jobs and Transformations Integrating Kettle and the Pentaho Suite Getting the Most Out of Kettle Utilizing Visualization Tools in Kettle Data Analytics Data Structures References 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 tents from other kinds 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...

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