Book Image

Apache Flume: Distributed Log Collection for Hadoop

By : Steve Hoffman, Steven Hoffman
Book Image

Apache Flume: Distributed Log Collection for Hadoop

By: Steve Hoffman, Steven Hoffman

Overview of this book

Table of Contents (16 chapters)
Apache Flume: Distributed Log Collection for Hadoop Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 6. Interceptors, ETL, and Routing

The final piece of functionality required in your data processing pipeline is the ability to inspect and transform events in flight. This can be accomplished using interceptors. Interceptors, as we discussed in Chapter 1, Overview and Architecture, can be inserted after a source creates an event, but before writing to the channel occurs.