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Pentaho Data Integration 4 Cookbook

You're reading from   Pentaho Data Integration 4 Cookbook Over 70 recipes to solve ETL problems using Pentaho Kettle

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Product type Paperback
Published in Jun 2011
Publisher Packt
ISBN-13 9781849515245
Length 352 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (17) Chapters Close

Pentaho Data Integration 4 Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Working with Databases FREE CHAPTER 2. Reading and Writing Files 3. Manipulating XML Structures 4. File Management 5. Looking for Data 6. Understanding Data Flows 7. Executing and Reusing Jobs and Transformations 8. Integrating Kettle and the Pentaho Suite 9. Getting the Most Out of Kettle Data Structures 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 not just putting in a step that freely joins the streams. You have to take a couple of things into account. 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||2010
Titan|85 mph|Six Flags Over...
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