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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

Kafka

Kafka is a publish-subscribe messaging system that provides a reliable Spark Streaming source. With the latest Kafka direct API, it provides one-to-one mapping between Kafka's partition and the DStream generated RDDs partition along with access to metadata and offset. Since, Kafka is an advanced streaming source as far as Spark Streaming is concerned, one needs to add its dependency in the build tool of the streaming application. The following is the artifact that should be added in the build tool of one's choice before starting with Kafka integration:

 groupId = org.apache.spark 
artifactId = spark-streaming-kafka-0-10_2.11 
version = 2.1.1

After adding the dependency, one also needs basic information about the Kafka setup, such as the server(s) on which Kafka is hosted (bootstrap.servers) and some of the basic configurations describing the message, such as sterilizer, group ID, and so on. The following are a few common properties used to describe a Kafka connection:

bootstrap.servers...

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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.

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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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