Book Image

Pentaho Data Integration 4 Cookbook

Book Image

Pentaho Data Integration 4 Cookbook

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)
Pentaho Data Integration 4 Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Generating a custom log file


When you run a transformation or a job, all of what is happening in the process is shown in the Execution Results window, which has a tab named Logging where you can check the execution of your transformation step by step. By default, the level of the logging detail is Basic, but you can change it to show different levels of detail.

Under the Logging tab, you can see information about how the step is performing, for example, the number of rows coming from previous steps, the number of rows read, the number of rows written, errors in execution, and so on. All this data is provided by the steps automatically, but what if you want to write your custom messages to the Logging information? To do this, there is a step and an entry named Write to log, in the Utility folder.

To put them into practice, let's take a simple transformation that reads a text file with book novelties and splits them into two Excel files depending on their price. The objective here is to include...