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Learning Apache Spark 2

You're reading from   Learning Apache Spark 2 A beginner's guide to real-time Big Data processing using the Apache Spark framework

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Length 356 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Abbasi Muhammad Asif Abbasi
Author Profile Icon Muhammad Asif Abbasi
Muhammad Asif Abbasi
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Toc

Table of Contents (12) Chapters Close

Preface 1. Architecture and Installation 2. Transformations and Actions with Spark RDDs FREE CHAPTER 3. ETL with Spark 4. Spark SQL 5. Spark Streaming 6. Machine Learning with Spark 7. GraphX 8. Operating in Clustered Mode 9. Building a Recommendation System 10. Customer Churn Prediction Theres More with Spark

Creating your first Graph (RDD API)


For the RDD API, the basic class in GraphX is called a Graph (org.apache.spark.graphx.Graph), which contains two types of RDDs as you might have guessed:

  • Edges
  • Vertices

In the following graph, you can see we have a number of different vertices, namely Fawad, Aznan, Ben, Tom, and Marathon.

Figure 7.6: Depiction of a graph

This is a labeled graph where the edges and vertices have labels associated with them.

Following the Graph, we will look at a code example, where we:

  • Create the vertices
  • Create the edges
  • Instantiate a graph object
  • View the vertices configured with the graph

The following code example can be used to create a Graph similar to the one shown in the preceding figure.

Code samples

Let's look at the code example:

import org.apache.spark.graphx._

val myVertices = sc.parallelize(Array(
  (1L, "Fawad"),
  (2L, "Aznan"),
  (3L, "Ben"),
  (4L, "Tom"),
  (5L, "Marathon"))
)

val myEdges =...
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