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Learning Apache Spark 2

You're reading from  Learning Apache Spark 2

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Pages 356 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (18) Chapters

Learning Apache Spark 2
Credits
About the Author
About the Reviewers
www.packtpub.com
Customer Feedback
Preface
1. Architecture and Installation 2. Transformations and Actions with Spark RDDs 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 1. Theres More with Spark

Basic graph operators (RDD API)

We have already looked at some basic RDD operators while discussing the RDD API earlier in this book. Graphs also support basic operators to help create new graphs and manipulate them. The two major classes for graphs are:

  • org.apache.spark.graphx.Graph: This is an abstract class that represents a graph with arbitrary objects associated with vertices and edges. This class provides basic operations to access and manipulate the data associated with the vertices and edges, as well as the underlying structure. Like the RDD API, graph API provides a functional structure in which mutating operations would return a new Graph object.
  • org.apache.spark.graphx.GraphOps: The GraphOps class contains additional functionality for graphs. All operations are expressed in terms of efficient GraphXAPI. This class is implicitly constructed for each graph object and can be obtained from the ops value member as follows. You do not need to explicitly get a GraphOps object as Scala...
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