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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
Author Profile Icon Sumit Kumar
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

Getting started with Spark

In this section, we will run Apache Spark in local mode or standalone mode. First we will set up Scala, which is the prerequisite for Apache Spark. After the Scala setup, we will set up and run Apache Spark. We will also perform some basic operations on it. So let's start.

Since Apache Spark is written in Scala, it needs Scala to be set up on the system. You can download Scala from http://www.scala-lang.org/download/ (we will set up Scala 2.11.8 in the following examples).

Once Scala is downloaded, we can set it up on a Linux system as follows:

Also, it is recommended to set the SCALA_HOME environment variable and add Scala binaries to the PATH variable. You can set it in the .bashrc file or /etc/environment file as follows:

export SCALA_HOME=/usr/local/scala-2.11.8
export PATH=$PATH:/usr/local/scala-2.11.8/bin

It is also shown in the following...

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