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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

Concepts

Data Processing

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

Books
Online

Index

Merging rows of two streams with the same or different structures

It's a common requirement to combine two or more streams into a single stream that includes the union of all rows. In these cases, the streams come from different sources and don't always have the same structure. Consequently, combining the streams is not as easy as just putting in a step that freely joins the streams. Issues can quickly arise if row formats and column orders are mixed between streams. This recipe gives you the tips to make it easier.

Suppose that you received data about roller coasters from two different sources. The data in one of those sources looks like the following:

roller_coaster|speed|park|location|country|Year
Top Thrill Dragster|120 mph|Cedar Point|Sandusky, Ohio||2003
Dodonpa|106.8 mph|Fuji-Q Highland|FujiYoshida-shi|Japan|2001
Steel Dragon 2000|95 mph|Nagashima Spa Land|Mie|Japan|2000
Millennium Force|93 mph|Cedar Point|Sandusky, Ohio||2000
Intimidator 305|90 mph|Kings Dominion|Doswell, Virginia...

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