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Learning Apache Apex

You're reading from  Learning Apache Apex

Product type Book
Published in Nov 2017
Publisher
ISBN-13 9781788296403
Pages 290 pages
Edition 1st Edition
Languages
Authors (5):
Thomas Weise Thomas Weise
Profile icon Thomas Weise
Ananth Gundabattula Ananth Gundabattula
Profile icon Ananth Gundabattula
Munagala V. Ramanath Munagala V. Ramanath
Profile icon Munagala V. Ramanath
David Yan David Yan
Profile icon David Yan
Kenneth Knowles Kenneth Knowles
Profile icon Kenneth Knowles
View More author details

Table of Contents (17) Chapters

Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction to Apex Getting Started with Application Development The Apex Library Scalability, Low Latency, and Performance Fault Tolerance and Reliability Example Project – Real-Time Aggregation and Visualization Example Project – Real-Time Ride Service Data Processing Example Project – ETL Using SQL Introduction to Apache Beam The Future of Stream Processing

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...

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