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Pentaho Data Integration 4 Cookbook

Pentaho Data Integration 4 Cookbook

4.8 (8)
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Pentaho Data Integration 4 Cookbook

Pentaho Data Integration 4 Cookbook

4.8 (8)

Overview of this book

Pentaho Data Integration (PDI, also called Kettle), one of the data integration tools leaders, is broadly used for all kind of data manipulation such as migrating data between applications or databases, exporting data from databases to flat files, data cleansing, and much more. Do you need quick solutions to the problems you face while using Kettle? Pentaho Data Integration 4 Cookbook explains Kettle features in detail through clear and practical recipes that you can quickly apply to your solutions. The recipes cover a broad range of topics including processing files, working with databases, understanding XML structures, integrating with Pentaho BI Suite, and more. Pentaho Data Integration 4 Cookbook shows you how to take advantage of all the aspects of Kettle through a set of practical recipes organized to find quick solutions to your needs. The initial chapters explain the details about working with databases, files, and XML structures. Then you will see different ways for searching data, executing and reusing jobs and transformations, and manipulating streams. Further, you will learn all the available options for integrating Kettle with other Pentaho tools. Pentaho Data Integration 4 Cookbook has plenty of recipes with easy step-by-step instructions to accomplish specific tasks. There are examples and code that are ready for adaptation to individual needs.
Table of Contents (17 chapters)
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Pentaho Data Integration 4 Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Executing part of a job once for every row in a dataset


Assume that you have a list of things or entities such as students, files, dates, products, and so on. Now, suppose that you want to execute a group of job entries once for every entity in that list.

Suppose that you have a file with a list of names, as for example:

name
Paul
Santiago
Lourdes
Anna

For each person, you want to:

  • Generate a file saying hello to that person

  • Wait for 2 seconds

  • Write a message to the log

For a single person, these tasks can be done with a couple of entries. If you have a small known list of entities (persons in this example), then you could copy and paste that group of entries, once for each. On the other hand, if the list is long, or you do not know the values in advance, there is another way to achieve this. This recipe shows you how.

Getting ready

For this recipe, we will use the Hello transformation described in the introduction.

The destination folder for the file that is generated is in a variable named ${OUTPUT_FOLDER...

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