Book Image

Apache Spark 2.x for Java Developers

By : Sourav Gulati, Sumit Kumar
Book Image

Apache Spark 2.x for Java Developers

By: Sourav Gulati, Sumit Kumar

Overview of this book

Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone. The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages. By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications.
Table of Contents (19 chapters)
Title Page
Credits
Foreword
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Getting started with the GraphX API


In this section, we will create a graph using the GraphX API. Here we will first create vertex and edge RDDs and then we will use them to create the graph.

Note

As of Spark 2.1.x, the GraphX library only provides a stable Scala API. The Java API of GraphX is still in ALPHA version. In this chapter, we will call Scala APIs of GraphX in Java wherever required to perform the graph operations provided in the GraphX library.

Let's start with creating a graph using the example provided in the previous section. The following are the ways of creating the graph.

Using vertex and edge RDDs

  1. First we define the vertex and edge RDD as follows:
 List<Tuple2<Object, string>> vertices = new ArrayList<>(); 
 
vertices.add(new Tuple2<Object, string>(1l, "James")); 
vertices.add(new Tuple2<Object, string>(2l, "Robert")); 
vertices.add(new Tuple2<Object, string>(3l, "Charlie")); 
vertices.add(new Tuple2<Object, string>(4l, "Roger")); 
vertices...