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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

Structured Streaming

Structured is a brand new edition in Apache Spark's streaming processing vertical. It is a stream processing engine built on top of the Spark SQL engine. With the introduction of structured streaming, a unification bond of batch processing and stream processing as it allows us to develop a stream processing is enabled application similar to the batch processing application. At the same time, it is scalable and fault tolerant as well.

As per Apache Spark's documentation,

Structured Streaming provides fast, scalable, fault-tolerant, end-to-end exactly-once stream processing without the user having to reason about streaming

.

Instead of using DStream in structured streaming, the dataset API can be used and it is the responsibility of the Spark SQL engine to keep the dataset updated as new streaming data arrives. As the dataset API is used, all the Spark SQL operations are available. Therefore, users can use SQL queries on the stream data using the optimized Spark SQL engine...

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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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