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

Running the application on YARN


Once the application is functionally complete and passes the tests in embedded mode, it is time to take it for a test drive on the cluster. Compared to working within the IDE, execution in distributed mode requires a different approach and tools for deployment, testing and troubleshooting of the application. In this section, we will introduce YARN as the execution layer and how to setup and navigate the cluster for various tasks. Note that, as of release 3.6, Apex supports YARN as cluster manager, support for other infrastructure is likely to follow in one of the next releases.

Execution layer components

YARN (Yet Another Resource Negotiator) originates from an effort to separate processing resource management from the application framework MapReduce, which was tightly coupled in the first version of Hadoop. Today, many of the big data processing frameworks, including Apache Spark, support YARN.

Note

The following blog is one of many resources that provide a good...