Book Image

Talend Open Studio Cookbook

By : Rick Barton
Book Image

Talend Open Studio Cookbook

By: Rick Barton

Overview of this book

Data integration is a key component of an organization's technical strategy, yet historically the tools have been very expensive. Talend Open Studio is the world's leading open source data integration product and has played a huge part in making open source data integration a popular choice for businesses worldwide.This book is a welcome addition to the small but growing library of Talend Open Studio resources. From working with schemas to creating and validating test data, to scheduling your Talend code, you will get acquainted with the various Talend database handling techniques. Each recipe is designed to provide the key learning point in a short, simple and effective manner.This comprehensive guide provides practical exercises that cover all areas of the Talend development lifecycle including development, testing, debugging and deployment. The book delivers design patterns, hints, tips, and advice in a series of short and focused exercises that can be approached as a reference for more seasoned developers or as a series of useful learning tutorials for the beginner.The book covers the basics in terms of schema usage and mappings, along with dedicated sections that will allow you to get more from tMap, files, databases and XML. Geared towards the whole lifecycle, the Talend Open Studio Cookbook shows readers great ways to handle everyday tasks, and provides an insight into all areas of a development cycle including coding, testing, and debugging of code to provide start-to-finish coverage of the product.
Table of Contents (21 chapters)
Talend Open Studio Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Common Type Conversions
Index

Using reload at each row to process real-time / near real-time data


Prior to attempting this recipe, you will need to ensure that you have an active MySQL database and have updated the context variables within the context MySQL to contain your database and login details. See the recipe Setting up a database connection in Chapter 7, Working with databases, for details on how to do this.

As we mentioned in the recipe Joining using tMap, tMap will load the join data into memory prior to processing the main input rows. This works fine for a batch processing model, because the overhead of loading large lookups in memory is offset against the efficiency in processing the joins against the data held in memory.

This paradigm does not however work in a real-time situation. In a real-time process, it would be unacceptable to wait for say 5 minutes to unload a large database table prior to processing a single record.

This recipe shows how the tMap 'reload at each row' feature can be used to process small...