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Apache Spark 2.x Cookbook

You're reading from  Apache Spark 2.x Cookbook

Product type Book
Published in May 2017
Publisher
ISBN-13 9781787127265
Pages 294 pages
Edition 1st Edition
Languages
Author (1):
Rishi Yadav Rishi Yadav
Profile icon Rishi Yadav

Table of Contents (19) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Getting Started with Apache Spark Developing Applications with Spark Spark SQL Working with External Data Sources Spark Streaming Getting Started with Machine Learning Supervised Learning with MLlib — Regression Supervised Learning with MLlib — Classification Unsupervised Learning Recommendations Using Collaborative Filtering Graph Processing Using GraphX and GraphFrames Optimizations and Performance Tuning

Developing a Spark application in IntelliJ IDEA with SBT


Before Eclipse became famous, IntelliJ IDEA was considered the best of the breed in IDEs. IDEA has not shed its former glory yet, and a lot of developers love IDEA. IDEA also has a community edition, which is free. It provides native support for SBT, which makes it ideal for SBT and Scala development.

How to do it...

Perform the following steps to develop a Spark application on IntelliJ IDEA with SBT:

  1. Add the sbt-idea plugin.
  2. Add SBT to the global plugin file:
$ mkdir /home/hduser/.sbt/0.13/plugins
        $ echo addSbtPlugin("com.github.mpeltone" % "sbt-idea" % "1.6.0" ) > /home/hduser/.sbt/0.12/plugins/plugin.sbt
  1. Alternatively, you can add the SBT plugin to your project as well:
$ cd <project-home>
        $ echo addSbtPlugin("com.github.mpeltone" % "sbt-idea" % "1.6.0" ) > plugin.sbt

IDEA is ready for use with SBT.

Now you can develop the Spark code using Scala and build it using SBT.

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