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Pentaho Data Integration Beginner's Guide - Second Edition

You're reading from   Pentaho Data Integration Beginner's Guide - Second Edition Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782165040
Length 502 pages
Edition 2nd Edition
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Tools
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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 (21) Chapters Close

Preface 1. Getting Started with Pentaho Data Integration 2. Getting Started with Transformations FREE CHAPTER 3. Manipulating Real-world Data 4. Filtering, Searching, and Performing Other Useful Operations with Data 5. Controlling the Flow of Data 6. Transforming Your Data by Coding 7. Transforming the Rowset 8. Working with Databases 9. Performing Advanced Operations with Databases 10. Creating Basic Task Flows 11. Creating Advanced Transformations and Jobs 12. Developing and Implementing a Simple Datamart A. Working with Repositories B. Pan and Kitchen – Launching Transformations and Jobs from the Command Line C. Quick Reference – Steps and Job Entries D. Spoon Shortcuts E. Introducing PDI 5 Features F. Best Practices G. Pop Quiz Answers Index

Time for action – testing the transformation that keeps history of product changes

In the preceding section, you loaded a dimension with products by using a Dimension lookup/update step. You ran the transformation once, caused the insertion of one record for each product, and a special record with values N/A for the descriptive fields. Let's make some changes in the operational database, and run the transformation again to see how the Dimension lookup/update step stores history.

  1. Among the downloaded material locate the update_jumbo_products.sql script and run it.
  2. Switch to Spoon.
  3. If the transformation created in the last tutorial is not open, open it again.
  4. Run the transformation.
  5. Explore the js_dw database again. Right-click on the lk_puzzles table and click on View SQL. Modify the proposed statement so it looks like the following:
    SELECT   *
    FROM     lk_puzzles
    WHERE    id_js_man = 'JUM' 
    ORDER BY id_js_prod
           , version

    You will see this:

    Time for action – testing the transformation that keeps history of product changes

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