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

Chapter 5. Fault Tolerance and Reliability

Apex was built from the ground up for enabling data processing pipelines that are highly available and providing strong processing guarantees for accurate results. From its first release in 2013, Apex has supported exactly-once semantics based on distributed checkpointing and full fault-tolerance, including the application master. In this chapter, we will look at how these important properties are achieved, and what different components in the stack contribute to it:

  • The need for the distributed data processing platform to be resilient
  • Failure scenarios in Apex and how they are handled
  • Consistent, distributed checkpointing and how it works
  • Efficient, incremental, and large-scale state saving
  • Why the accuracy of the processing is important, and what guarantees does Apex provide
  • An example application for end-to-end exactly-once results