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Spark Cookbook

You're reading from   Spark Cookbook With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783987061
Length 226 pages
Edition 1st Edition
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Author (1):
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Rishi Yadav Rishi Yadav
Author Profile Icon Rishi Yadav
Rishi Yadav
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Apache Spark 2. Developing Applications with Spark FREE CHAPTER 3. External Data Sources 4. Spark SQL 5. Spark Streaming 6. Getting Started with Machine Learning Using MLlib 7. Supervised Learning with MLlib – Regression 8. Supervised Learning with MLlib – Classification 9. Unsupervised Learning with MLlib 10. Recommender Systems 11. Graph Processing Using GraphX 12. Optimizations and Performance Tuning Index

Developing a Spark application in IntelliJ IDEA with SBT

Before Eclipse became famous, IntelliJ IDEA was considered 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. IDEA 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 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
    

    Alternatively, you can add to your project as well:

    $cd <project-home>
    $ echo addSbtPlugin("com.github.mpeltone" % "sbt-idea" % "1.6.0" ) > plugin.sbt
    

IDEA is ready to use with SBT.

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

You have been reading a chapter from
Spark Cookbook
Published in: Jul 2015
Publisher:
ISBN-13: 9781783987061
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