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Apache Spark 2.x for Java Developers

You're reading from   Apache Spark 2.x for Java Developers Explore big data at scale using Apache Spark 2.x Java APIs

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787126497
Length 350 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Sumit Kumar Sumit Kumar
Author Profile Icon Sumit Kumar
Sumit Kumar
Sourav Gulati Sourav Gulati
Author Profile Icon Sourav Gulati
Sourav Gulati
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Toc

Table of Contents (19) Chapters Close

Title Page
Credits
Foreword
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Spark FREE CHAPTER 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

Chapter 8. Working with Spark SQL

This chapter will introduce Spark SQL and related concepts, like dataframe and dataset. Schema and advanced SQL functions will be discussed from the Apache Spark perspective; and writing custom user-defined function (UDF) and working with various data sources will also be touched upon.

This chapter uses Java APIs to create SQLContext/SparkSession and implement dataframes/datasets from Java RDD for raw data, such as CSV, and structured data, such as JSON.

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