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Mastering Apache Spark 2.x - Second Edition

You're reading from  Mastering Apache Spark 2.x - Second Edition

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781786462749
Pages 354 pages
Edition 2nd Edition
Languages

Table of Contents (21) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. A First Taste and What’s New in Apache Spark V2 2. Apache Spark SQL 3. The Catalyst Optimizer 4. Project Tungsten 5. Apache Spark Streaming 6. Structured Streaming 7. Apache Spark MLlib 8. Apache SparkML 9. Apache SystemML 10. Deep Learning on Apache Spark with DeepLearning4j and H2O 11. Apache Spark GraphX 12. Apache Spark GraphFrames 13. Apache Spark with Jupyter Notebooks on IBM DataScience Experience 14. Apache Spark on Kubernetes

Chapter 11. Apache Spark GraphX

In this chapter, we want to examine the Apache Spark GraphX module and graph processing, in general. So, this chapter will cover the topic of implementing graph analysis workflows on top of GraphX.

The GraphX coding section, written in Scala, will provide a series of graph coding examples.

Before writing code in Scala to use the Spark GraphX module, we think it will be useful to provide an overview of what a graph actually is in terms of graph processing. The following section provides a brief introduction using a couple of simple graphs as examples.

In this chapter we will cover:

  • Creating a graph from raw data
  • Counting
  • Filtering
  • PageRank
  • Triangle count
  • Connected components
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