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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

Streaming sources

Streaming sources are segregated into two categories in Spark Streaming, that is, basic source and advance source. All those sources that are directly available through StreamingContext, such as filesystem and socket streams are called basic sources while sources that require dependency linkages, as in the case of Kafka, Flume, and so on are called advanced sources. Streaming sources can also be defined on the basis of reliability; if an acknowledgement is sent to the source system after receiving and replicating the messages then such receivers are called reliable receivers, such as the Kafka API. Similarly if the system does not send an acknowledgement to the source system then they are termed as unreliable.

Some common streaming sources apart from socket streaming, which were discussed in previous examples, are explained in the next section.

fileStream

Data files from any directory can be read from a directory using the fileStream() API of StreamingContext. The fileStream...

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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.

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