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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

Spark components

Before moving any further let's first understand the common terminologies associated with Spark:

Driver: This is the main program that oversees the end-to-end execution of a Spark job or program. It negotiates the resources with the resource manager of the cluster for delegate and orchestrate the program into smallest possible data local parallel programming unit.
Executors: In any Spark job, there can be one or more executors, that is, processes that execute smaller tasks delegated by the driver. The executors process the data, preferably local to the node and store the result in memory, disk, or both.
Master: Apache Spark has been implemented in master-slave architecture and hence master refers to the cluster node executing the driver program.
Slave: In a distributed cluster mode, slave refers to the nodes on which executors are being run and hence there can be (and mostly is) more than one slave in the cluster.
Job: This is a collection of operations performed on any set of...

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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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