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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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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

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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