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Learning Pentaho Data Integration 8 CE

You're reading from   Learning Pentaho Data Integration 8 CE An end-to-end guide to exploring, transforming, and integrating your data across multiple sources

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292436
Length 500 pages
Edition 3rd Edition
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Author (1):
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María Carina Roldán María Carina Roldán
Author Profile Icon María Carina Roldán
María Carina Roldán
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Table of Contents (17) Chapters Close

Preface 1. Getting Started with Pentaho Data Integration 2. Getting Started with Transformations FREE CHAPTER 3. Creating Basic Task Flows 4. Reading and Writing Files 5. Manipulating PDI Data and Metadata 6. Controlling the Flow of Data 7. Cleansing, Validating, and Fixing Data 8. Manipulating Data by Coding 9. Transforming the Dataset 10. Performing Basic Operations with Databases 11. Loading Data Marts with PDI 12. Creating Portable and Reusable Transformations 13. Implementing Metadata Injection 14. Creating Advanced Jobs 15. Launching Transformations and Jobs from the Command Line 16. Best Practices for Designing and Deploying a PDI Project

Supplying named parameters and variables

In Chapter 12, Creating Portable and Reusable Transformations, you learned how to parameterize transformations with Named Parameters. In Chapter 14, Creating Advanced Jobs, you revisited the concept but used the parameters in Jobs.

In Spoon, you specify the named parameters in the Parameters box. The window shows you the name of the defined named parameters for you to fill in the values or leave the defaults. From the Terminal window, you provide the values as part of the Pan or Kitchen command line. The syntax that you have to use is as follows:

/param:<parameter name>=<parameter value>

For example, you have a named parameter called REPORT_FOLDER and you want to give the parameter the value my_reports. The following screenshot shows you how you can provide that value in Spoon:

Providing named parameters in Spoon

This...

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