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Apache Spark 2.x for Java Developers

You're reading from   Apache Spark 2.x for Java Developers Explore big data at scale using Apache Spark 2.x Java APIs

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787126497
Length 350 pages
Edition 1st Edition
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Authors (2):
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Sourav Gulati Sourav Gulati
Author Profile Icon Sourav Gulati
Sourav Gulati
Sumit Kumar Sumit Kumar
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Sumit Kumar
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Table of Contents (12) Chapters Close

Preface 1. Introduction to Spark FREE CHAPTER 2. Revisiting Java 3. Let Us Spark 4. Understanding the Spark Programming Model 5. Working with Data and Storage 6. Spark on Cluster 7. Spark Programming Model - Advanced 8. Working with Spark SQL 9. Near Real-Time Processing with Spark Streaming 10. Machine Learning Analytics with Spark MLlib 11. Learning Spark GraphX

Spark application in distributed-mode

A Spark application is made of up of Driver and Executor(s) processes. Each application in Spark contains one driver process and one or more executor processes. The driver is the central coordinator of the application that drives the application. Spark Driver communicates and divides work among one or more executors. In distributed mode, Spark driver and each executor runs in separate JVM.

Logical Representation of a Spark Application in Distributed Mode

Driver program

SparkContext is initialized in the Driver JVM. Spark driver can be considered as the master of Spark applications. The following are the responsibilities of Spark Driver program:

  • It creates the physical plan of execution...
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