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Apache Spark 2.x for Java Developers

You're reading from Apache Spark 2.x for Java Developers

Product type Book

Published in Jul 2017

Publisher Packt

ISBN-13 9781787126497

Pages 350 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Sourav Gulati

Sumit Kumar

View More author details

Table of Contents (19) Chapters

Title Page

Credits

Foreword

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Introduction to Spark

2. Revisiting Java

3. Let Us Spark

4. Understanding the Spark Programming Model

5. Working with Data and Storage

6. Spark on Cluster

7. Spark Programming Model - Advanced

8. Working with Spark SQL

9. Near Real-Time Processing with Spark Streaming

10. Machine Learning Analytics with Spark MLlib

11. Learning Spark GraphX

Yet Another Resource Negotiator (YARN)

Hadoop YARN is one of the most popular resource managers in the big data world. Apache Spark provides seamless integration with YARN. Apache Spark applications can be deployed to YARN using the same spark-submit command.

Apache Spark requires HADOOP_CONF_DIR or YARN_CONF_DIR environment variables to be set and pointing to the Hadoop configuration directory, which contains core-site.xml, yarn-site.xml, and so on. These configurations are required to connect to the YARN cluster.

To run Spark applications on YARN, the YARN cluster should be started first. Refer to the following official Hadoop documentation that describes how to start the YARN cluster: https://hadoop.apache.org/docs

YARN in general consists of a resource manager (RM) and multiple node managers (NM) where resource manager is the master node and node managers are slave nodes. NMs send detailed report to RM at every defined interval that tell RM how many resources (such as CPU slots and RAM...

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Authors (2)

Sourav Gulati

Sourav Gulati is associated with software industry for more than 7 years. He started his career with Unix/Linux and Java and then moved towards big data and NoSQL World. He has worked on various big data projects. He has recently started a technical blog called Technical Learning as well. Apart from IT world, he loves to read about mythology.

See other products by Sourav Gulati

Sumit Kumar

Sumit Kumar is a developer with industry insights in telecom and banking. At different junctures, he has worked as a Java and SQL developer, but it is shell scripting that he finds both challenging and satisfying at the same time. Currently, he delivers big data projects focused on batch/near-real-time analytics and the distributed indexed querying system. Besides IT, he takes a keen interest in human and ecological issues.

See other products by Sumit Kumar

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