Book Image

Learning Apache Apex

By : Thomas Weise, Ananth Gundabattula, Munagala V. Ramanath, David Yan, Kenneth Knowles
Book Image

Learning Apache Apex

By: Thomas Weise, Ananth Gundabattula, Munagala V. Ramanath, David Yan, Kenneth Knowles

Overview of this book

Apache Apex is a next-generation stream processing framework designed to operate on data at large scale, with minimum latency, maximum reliability, and strict correctness guarantees. Half of the book consists of Apex applications, showing you key aspects of data processing pipelines such as connectors for sources and sinks, and common data transformations. The other half of the book is evenly split into explaining the Apex framework, and tuning, testing, and scaling Apex applications. Much of our economic world depends on growing streams of data, such as social media feeds, financial records, data from mobile devices, sensors and machines (the Internet of Things - IoT). The projects in the book show how to process such streams to gain valuable, timely, and actionable insights. Traditional use cases, such as ETL, that currently consume a significant chunk of data engineering resources are also covered. The final chapter shows you future possibilities emerging in the streaming space, and how Apache Apex can contribute to it.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Summary


In this chapter, we discussed the partitioning of operators and how it is the key platform feature that provides both static scalability and adaptive dynamic scalability to Apex applications with minimal required effort on the part of the application writer. We discussed related concepts such as shuffled partitioning, parallel partitioning, unifiers, and stream codecs, how these features can be configured either in code or in properties files and how the interplay of these features results in unparalleled flexibility and outstanding run-time performance. Finally, we concluded by discussing a sample application that illustrates some of these features.

In the next chapter, we will cover another key strength of Apex: fault tolerance and reliability with check-pointing and processing guarantees.